@article {1220, title = {CODE STROKE ALERT-Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management.}, journal = {Front Neurol}, volume = {10}, year = {2019}, month = {2019}, pages = {725}, abstract = {

Effective, time-critical intervention in acute stroke is crucial to mitigate mortality rate and morbidity, but delivery of reperfusion treatments is often hampered by pre-, in-, or inter-hospital system level delays. Disjointed, repetitive, and inefficient communication is a consistent contributor to avoidable treatment delay. In the era of rapid reperfusion therapy for ischemic stroke, there is a need for a communication system to synchronize the flow of clinical information across the entire stroke journey. A multi-disciplinary development team designed an electronic communications platform, integrated between web browsers and a mobile application, to link all relevant members of the stroke treatment pathway. The platform uses tiered notifications, geotagging, incorporates multiple clinical score calculators, and is compliant with security regulations. The system safely saves relevant information for audit and research. Code Stroke Alert is a platform that can be accessed by emergency medical services (EMS) and hospital staff, coordinating the flow of information during acute stroke care, reducing duplication, and error in clinical information handover. Electronic data logs provide an auditable trail of relevant quality improvement metrics, facilitating quality improvement, and research. Code Stroke Alert will be freely available to health networks globally. The open-source nature of the software offers valuable potential for future development of plug-ins and add-ons, based on individual institutional needs. Prospective, multi-site implementation, and measurement of clinical impact are underway.

}, issn = {1664-2295}, doi = {10.3389/fneur.2019.00725}, author = {Seah, Huey Ming and Burney, Moe and Phan, Michael and Shell, Daniel and Wu, Jamin and Zhou, Kevin and Brooks, Owen and Coulton, Bronwyn and Maingard, Julian and Tang, Jennifer and Yazdabadi, Gohar and Tahayori, Bahman and Barras, Christen and Kok, Hong Kuan and Chandra, Ronil and Thijs, Vincent and Brooks, Duncan Mark and Asadi, Hamed} } @article {1289, title = {Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya.}, journal = {BMC Res Notes}, volume = {12}, year = {2019}, month = {2019 Mar 18}, pages = {151}, abstract = {

OBJECTIVE: In Sub-Saharan Africa, there is an increase in trypanosome non-susceptibility to multiple trypanocides, but limited information on judicious trypanocide use is accessible to smallholder farmers and agricultural stakeholders in disease endemic regions, resulting in widespread multi-drug resistance. Huge economic expenses and the laborious nature of extensive field studies have hindered collection of the requisite large-scale prospective datasets required to inform disease management. We examined the efficacy of community-led data collection strategies using smartphones by smallholder farmers to acquire robust datasets from the trypanosomiasis endemic Shimba hills region in Kenya. We used Open Data Kit, an open-source smartphone application development software, to create a data collection App.

RESULTS: Our study provides proof of concept for the viability of using smartphone Apps to remotely collect reliable large-scale information from smallholder farmers and veterinary health care givers in resource poor settings. We show that these datasets can be reliably collated remotely, analysed, and the findings can inform policies that improve farming practices and economic wellbeing while restricting widespread multi-drug resistance. Moreover, this strategy can be used to monitor and manage other infectious diseases in other rural, resource poor settings.

}, keywords = {Adult, Animals, Cattle, Cattle Diseases, Community-Based Participatory Research, Data Collection, Epidemiological Monitoring, Farmers, Female, Humans, Kenya, Male, Mobile Applications, Pilot Projects, Proof of Concept Study, Trypanosomiasis, African}, issn = {1756-0500}, doi = {10.1186/s13104-019-4198-z}, author = {Wamwenje, Sarah A O and Wangwe, Ibrahim I and Masila, Nicodemus and Mirieri, Caroline K and Wambua, Lillian and Kulohoma, Benard W} } @article {1222, title = {Data on security requirements in open-source software projects.}, journal = {Data Brief}, volume = {25}, year = {2019}, month = {2019 Aug}, pages = {103590}, abstract = {

The datasets presented in this article are related the research paper entitled "A Linear Classifier Approach for Identifying Security Requirements in Open Source Software Development" Wang et al. (2018) [1]. This article describes requirements collected from three open-source software (OSS) projects and labels of security requirements. The datasets are made available to support automated security requirements analyzing tools development as well as tools{\textquoteright} evaluation.

}, issn = {2352-3409}, doi = {10.1016/j.dib.2018.12.029}, author = {Wang, Wentao and Mahakala, Kavya Reddy and Gupta, Arushi and Hussein, Nesrin and Wang, Yinglin} } @article {1271, title = {The impact of PEPFAR transition on HIV service delivery at health facilities in Uganda.}, journal = {PLoS One}, volume = {14}, year = {2019}, month = {2019}, pages = {e0223426}, abstract = {

BACKGROUND: Since 2004, the President{\textquoteright}s Emergency Plan for AIDS Relief (PEPFAR) has played a large role in Uganda{\textquoteright}s HIV/AIDS response. To better target resources to high burden regions and facilities, PEPFAR planned to withdraw from 29\% of previously-supported health facilities in Uganda between 2015 and 2017.

METHODS: We conducted a cross-sectional survey of 226 PEPFAR-supported health facilities in Uganda in mid-2017. The survey gathered information on availability, perceived quality, and access to HIV services before and after transition. We compare responses for facilities transitioned to those maintained on PEPFAR, accounting for survey design. We also extracted data from DHIS2 for the period October 2013-December 2017 on the number of HIV tests and counseling (HTC), number of patients on antiretroviral therapy (Current on ART), and retention on first-line ART (Retention) at 12 months. Using mixed effect models, we compare trends in service volume around the transition period.

RESULTS: There were 206 facilities that reported transition and 20 that reported maintenance on PEPFAR. Some facilities reporting transition may have been in a gap between implementing partners. The median transition date was September 2016, nine months prior to the survey. Transition facilities were more likely to discontinue HIV outreach following transition (51.6\% vs. 1.4\%, p<0.001) and to report declines in HIV care access (43.5\% vs. 3.1\%, p<0.001) and quality (35.6\% vs. 0\%, p<0.001). However, transition facilities did not differ in their trends in HIV service volume relative to maintenance facilities.

CONCLUSIONS: Transition from PEPFAR resulted in facilities reporting worsening patient access and service quality for HIV care, but there is insufficient evidence to suggest negative impacts on volume of HIV services. Facility respondents{\textquoteright} perceptions about access and quality may be overly pessimistic, or they may signal forthcoming impacts. Unrelated to transition, declining retention on ART in Uganda is a cause for concern.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0223426}, author = {Wilhelm, Jess Alan and Qiu, Mary and Paina, Ligia and Colantuoni, Elizabeth and Mukuru, Moses and Ssengooba, Freddie and Bennett, Sara} } @article {1268, title = {Census-independent population mapping in northern Nigeria.}, journal = {Remote Sens Environ}, volume = {204}, year = {2018}, month = {2018 Jan}, pages = {786-798}, abstract = {

Although remote sensing has long been used to aid in the estimation of population, it has usually been in the context of spatial disaggregation of national census data, with the census counts serving both as observational data for specifying models and as constraints on model outputs. Here we present a framework for estimating populations from the bottom up, entirely independently of national census data, a critical need in areas without recent and reliable census data. To make observations of population density, we replace national census data with a microcensus, in which we enumerate population for a sample of small areas within the states of Kano and Kaduna in northern Nigeria. Using supervised texture-based classifiers with very high resolution satellite imagery, we produce a binary map of human settlement at 8-meter resolution across the two states and then a more refined classification consisting of 7 residential types and 1 non-residential type. Using the residential types and a model linking them to the population density observations, we produce population estimates across the two states in a gridded raster format, at approximately 90-meter resolution. We also demonstrate a simulation framework for capturing uncertainty and presenting estimates as prediction intervals for any region of interest of any size and composition within the study region. Used in concert with previously published demographic estimates, our population estimates allowed for predictions of the population under 5 in ten administrative wards that fit strongly with reference data collected during polio vaccination campaigns.

}, issn = {0034-4257}, doi = {10.1016/j.rse.2017.09.024}, author = {Weber, Eric M and Seaman, Vincent Y and Stewart, Robert N and Bird, Tomas J and Tatem, Andrew J and McKee, Jacob J and Bhaduri, Budhendra L and Moehl, Jessica J and Reith, Andrew E} } @article {1293, title = {Designing mHealth for maternity services in primary health facilities in a low-income setting - lessons from a partially successful implementation.}, journal = {BMC Med Inform Decis Mak}, volume = {18}, year = {2018}, month = {2018 11 12}, pages = {96}, abstract = {

BACKGROUND: Increasing mobile phone ownership, functionality and access to mobile-broad band internet services has triggered growing interest to harness the potential of mobile phone technology to improve health services in low-income settings. The present project aimed at designing an mHealth system that assists midlevel health workers to provide better maternal health care services by automating the data collection and decision-making process. This paper describes the development process and technical aspects of the system considered critical for possible replication. It also highlights key lessons learned and challenges during implementation.

METHODS: The mHealth system had front-end and back-end components. The front-end component was implemented as a mobile based application while the back-end component was implemented as a web-based application that ran on a central server for data aggregation and report generation. The current mHealth system had four applications; namely, data collection/reporting, electronic health records, decision support, and provider education along the continuum of care including antenatal, delivery and postnatal care. The system was pilot-tested and deployed in selected health centers of North Shewa Zone, Amhara region, Ethiopia.

RESULTS: The system was used in 5 health centers since Jan 2014 and later expanded to additional 10 health centers in June 2016 with a total of 5927 electronic forms submitted to the back-end system. The submissions through the mHealth system were slightly lower compared to the actual number of clients who visited those facilities as verified by record reviews. Regarding timeliness, only 11\% of the electronic forms were submitted on the day of the client visit, while an additional 17\% of the forms were submitted within 10~days of clients{\textquoteright} visit. On average forms were submitted 39~days after the day of clients visit with a range of 0 to 150~days.

CONCLUSIONS: In conclusion, the study illustrated that an effective mHealth intervention can be developed using an open source platform and local resources. The system impacted key health outcomes and contributed to timely and complete data submission. Lessons learned through the process including success factors and challenges are discussed.

}, keywords = {Cell Phone, Delivery of Health Care, electronic health records, Ethiopia, Female, Health Facilities, Humans, Maternal Health Services, Mobile Applications, Poverty, Pregnancy, Telemedicine}, issn = {1472-6947}, doi = {10.1186/s12911-018-0704-9}, author = {Shiferaw, Solomon and Workneh, Andualem and Yirgu, Robel and Dinant, Geert-Jan and Spigt, Mark} } @article {1283, title = {How do paper and electronic records compare for completeness? A three centre study.}, journal = {Eye (Lond)}, volume = {32}, year = {2018}, month = {2018 07}, pages = {1232-1236}, abstract = {

OBJECTIVES: Medical records are legal documentation of patients{\textquoteright} care hence must be accurate and complete for both medical and legal purposes. Electronic patient record (EPR) systems aim to improve the accuracy of documentation, provide better organisation and access of data. This study compares the completeness of traditional note records and EPR in glaucoma patients.

METHODS: Using criteria from the April 2009 National Institute for Health and Care Excellence (NICE) guidelines completeness of data entry was compared between EPR and paper notes in three units. Moorfields Eye Hospital (City Road) uses the Openeyes EPR. Bedford Hospital (Moorfields Eye Centre) and Western Eye Hospital use the Medisoft EPR. The standard was set at 100\% compliance for predetermined parameters.

RESULTS: One hundred seventy paper notes and 270 electronic records were analysed. With the exception of central corneal thickness (p = 0.31), all other key parameters were more consistently recorded in the paper records than in the EPR. Intraocular pressure (p = 0.004), anterior chamber configuration and depth assessments using gonioscopy (p < 0.001), fundus examination (p = 0.015), past medical history (p < 0.001), medication including glaucoma medication (p < 0.001) and drug allergies (p < 0.001).

CONCLUSIONS: Our results show that paper records are significantly more complete than EPR. This is the case for two different EPRs and three separate sites. We propose additional training to aid data-collection; improving the design of EPRs by investigating factors such as layout and use of forced choice fields.

}, keywords = {electronic health records, Glaucoma, Humans, Medical Records, Ophthalmology}, issn = {1476-5454}, doi = {10.1038/s41433-018-0065-8}, author = {Wu, Clara Hoi Ka and Luk, Sheila M H and Holder, Richard L and Rodrigues, Zena and Ahmed, Faisal and Murdoch, Ian} } @article {1287, title = {Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach.}, journal = {Sci Rep}, volume = {8}, year = {2018}, month = {2018 01 11}, pages = {538}, abstract = {

The detection of anatomical landmarks in bioimages is a necessary but tedious step for geometric morphometrics studies in many research domains. We propose variants of a multi-resolution tree-based approach to speed-up the detection of landmarks in bioimages. We extensively evaluate our method variants on three different datasets (cephalometric, zebrafish, and drosophila images). We identify the key method parameters (notably the multi-resolution) and report results with respect to human ground truths and existing methods. Our method achieves recognition performances competitive with current existing approaches while being generic and fast. The algorithms are integrated in the open-source Cytomine software and we provide parameter configuration guidelines so that they can be easily exploited by end-users. Finally, datasets are readily available through a Cytomine server to foster future research.

}, keywords = {Algorithms, Animals, Body Weights and Measures, Drosophila, Humans, Image Processing, Computer-Assisted, Software, Zebrafish}, issn = {2045-2322}, doi = {10.1038/s41598-017-18993-5}, author = {Vandaele, R{\'e}my and Aceto, Jessica and Muller, Marc and P{\'e}ronnet, Fr{\'e}d{\'e}rique and Debat, Vincent and Wang, Ching-Wei and Huang, Cheng-Ta and Jodogne, S{\'e}bastien and Martinive, Philippe and Geurts, Pierre and Mar{\'e}e, Rapha{\"e}l} } @article {1236, title = {Development and Deployment of the OpenMRS-Ebola Electronic Health Record System for an Ebola Treatment Center in Sierra Leone.}, journal = {J Med Internet Res}, volume = {19}, year = {2017}, month = {2017 08 21}, pages = {e294}, abstract = {

BACKGROUND: Stringent infection control requirements at Ebola treatment centers (ETCs), which are specialized facilities for isolating and treating Ebola patients, create substantial challenges for recording and reviewing patient information. During the 2014-2016 West African Ebola epidemic, paper-based data collection systems at ETCs compromised the quality, quantity, and confidentiality of patient data. Electronic health record (EHR) systems have the potential to address such problems, with benefits for patient care, surveillance, and research. However, no suitable software was available for deployment when large-scale ETCs opened as the epidemic escalated in 2014.

OBJECTIVE: We present our work on rapidly developing and deploying OpenMRS-Ebola, an EHR system for the Kerry Town ETC in Sierra Leone. We describe our experience, lessons learned, and recommendations for future health emergencies.

METHODS: We used the OpenMRS platform and Agile software development approaches to build OpenMRS-Ebola. Key features of our work included daily communications between the development team and ground-based operations team, iterative processes, and phased development and implementation. We made design decisions based on the restrictions of the ETC environment and regular user feedback. To evaluate the system, we conducted predeployment user questionnaires and compared the EHR records with duplicate paper records.

RESULTS: We successfully built OpenMRS-Ebola, a modular stand-alone EHR system with a tablet-based application for infectious patient wards and a desktop-based application for noninfectious areas. OpenMRS-Ebola supports patient tracking (registration, bed allocation, and discharge); recording of vital signs and symptoms; medication and intravenous fluid ordering and monitoring; laboratory results; clinician notes; and data export. It displays relevant patient information to clinicians in infectious and noninfectious zones. We implemented phase 1 (patient tracking; drug ordering and monitoring) after 2.5 months of full-time development. OpenMRS-Ebola was used for 112 patient registrations, 569 prescription orders, and 971 medication administration recordings. We were unable to fully implement phases 2 and 3 as the ETC closed because of a decrease in new Ebola cases. The phase 1 evaluation suggested that OpenMRS-Ebola worked well in the context of the rollout, and the user feedback was positive.

CONCLUSIONS: To our knowledge, OpenMRS-Ebola is the most comprehensive adaptable clinical EHR built for a low-resource setting health emergency. It is designed to address the main challenges of data collection in highly infectious environments that require robust infection prevention and control measures and it is interoperable with other electronic health systems. Although we built and deployed OpenMRS-Ebola more rapidly than typical software, our work highlights the challenges of having to develop an appropriate system during an emergency rather than being able to rapidly adapt an existing one. Lessons learned from this and previous emergencies should be used to ensure that a set of well-designed, easy-to-use, pretested health software is ready for quick deployment in future.

}, keywords = {electronic health records, Epidemics, Hemorrhagic Fever, Ebola, Humans, Infection Control, Sierra Leone, Telemedicine}, issn = {1438-8871}, doi = {10.2196/jmir.7881}, author = {Oza, Shefali and Jazayeri, Darius and Teich, Jonathan M and Ball, Ellen and Nankubuge, Patricia Alexandra and Rwebembera, Job and Wing, Kevin and Sesay, Alieu Amara and Kanter, Andrew S and Ramos, Glauber D and Walton, David and Cummings, Rachael and Checchi, Francesco and Fraser, Hamish S} } @article {1294, title = {How the introduction of a human resources information system helped the Democratic Republic of Congo to mobilise domestic resources for an improved health workforce.}, journal = {Health Policy Plan}, volume = {32}, year = {2017}, month = {2017 Nov 01}, pages = {iii25-iii31}, abstract = {

The Democratic Republic of Congo has flagged health workforce management and compensation as issues requiring attention, including the problem of ghost workers (individuals on payroll who do not exist and/or show up at work). Recognising the need for reliable health workforce information, the government has worked to implement iHRIS, an open source human resources information system that facilitates health workforce management. In Kasa{\"\i} Central and Kasa{\"\i} Provinces, health workers brought relevant documentation to data collection points, where trained teams interviewed them and entered contact information, identification, photo, current job, and employment and education history into iHRIS on laptops. After uploading the data, the Ministry of Public Health used the database of over 11 500 verified health worker records to analyse health worker characteristics, density, compensation, and payroll. Both provinces had less than one physician per 10 000 population and a higher urban versus rural health worker density. Most iHRIS-registered health workers (57\% in Kasa{\"\i} Central and 73\% in Kasa{\"\i}) reported receiving no regular government pay of any kind (salaries or risk allowances). Payroll analysis showed that 27\% of the health workers listed as salary recipients in the electronic payroll system were ghost workers, as were 42\% of risk allowance recipients. As a result, the Ministries of Public Health, Public Service, and Finance reallocated funds away from ghost workers to cover salaries (n = 781) and risk allowances (n = 2613) for thousands of health workers who were previously under- or uncompensated due to lack of funds. The reallocation prioritised previously under- or uncompensated mid-level health workers, with 49\% of those receiving salaries and 68\% of those receiving risk allowances representing cadres such as nurses, laboratory technicians, and midwifery cadres. Assembling accurate health worker records can help governments understand health workforce characteristics and use data to direct scarce domestic resources to where they are most needed.

}, keywords = {Democratic Republic of the Congo, Health Personnel, Health Workforce, Humans, Management Information Systems, Personnel Management, Remuneration}, issn = {1460-2237}, doi = {10.1093/heapol/czx113}, author = {Likofata Esanga, Jean-Robert and Viadro, Claire and McManus, Leah and Wesson, Jennifer and Matoko, Nicaise and Ngumbu, Epiphane and Gilroy, Kate E and Trudeau, Daren} } @article {1174, title = {A national standards-based assessment on functionality of electronic medical records systems used in {Kenyan} public-{Sector} health facilities}, journal = {International Journal of Medical Informatics}, volume = {97}, year = {2017}, pages = {68{\textendash}75}, abstract = {BACKGROUND: Variations in the functionality, content and form of electronic medical record systems (EMRs) challenge national roll-out of these systems as part of a national strategy to monitor HIV response. To enforce the EMRs minimum requirements for delivery of quality HIV services, the Kenya Ministry of Health (MoH) developed EMRs standards and guidelines. The standards guided the recommendation of EMRs that met a preset threshold for national roll-out. METHODS: Using a standards-based checklist, six review teams formed by the MoH EMRs Technical Working Group rated a total of 17 unique EMRs in 28 heath facilities selected by individual owners for their optimal EMR implementation. EMRs with an aggregate score of >=60\% against checklist criteria were identified by the MoH as suitable for upgrading and rollout to Kenyan public health facilities. RESULTS: In Kenya, existing EMRs scored highly in health information and reporting (mean score=71.8\%), followed by security, system features, core clinical information, and order entry criteria (mean score=58.1\%-55.9\%), and lowest against clinical decision support (mean score=17.6\%) and interoperability criteria (mean score=14.3\%). Four EMRs met the 60.0\% threshold: OpenMRS, IQ-Care, C-PAD and Funsoft. On the basis of the review, the MoH provided EMRs upgrade plans to owners of all the 17 systems reviewed. CONCLUSION: The standards-based review in Kenya represents an effort to determine level of conformance to the EMRs standards and prioritize EMRs for enhancement and rollout. The results support concentrated use of resources towards development of the four recommended EMRs. Further review should be conducted to determine the effect of the EMR-specific upgrade plans on the other 13 EMRs that participated in the review exercise.}, keywords = {Checklist, EMRs, Review, Standards}, issn = {1872-8243}, doi = {10.1016/j.ijmedinf.2016.09.013}, author = {Kang{\textquoteright}a, Samuel and Puttkammer, Nancy and Wanyee, Steven and Kimanga, Davies and Madrano, Jason and Muthee, Veronica and Odawo, Patrick and Sharma, Anjali and Oluoch, Tom and Robinson, Katherine and Kwach, James and Lober, William B.} } @article {1284, title = {Risk of Posterior Capsule Rupture During Cataract Surgery in Eyes With Previous Intravitreal Injections.}, journal = {Am J Ophthalmol}, volume = {177}, year = {2017}, month = {2017 May}, pages = {77-80}, abstract = {

PURPOSE: To investigate the risk of posterior capsular rupture (PCR) during cataract surgery in eyes with previous intravitreal injection (IVI).

DESIGN: Retrospective cohort study.

METHODS: The Moorfields Patient Administrative System and OpenEyes electronic databases were used to study all cataract surgery procedures undertaken between January 1, 2012 and August 31, 2015 in the Moorfields main and satellite sites. Clinical data were anonymized and extracted, including prior occurrence and number of intravitreal injections. Logistic regression was performed with the Hosmer-Lemeshow test for goodness of fit to generate odds ratios for possible risk factors.

RESULTS: In total, 62 994 cataract surgery procedures were undertaken over the study period, of which 1035 (1.64\%) were in eyes with previous intravitreal injection(s). PCR occurred in 650 (1.04\%) eyes. After logistic regression, prior intravitreal injection was associated with an increased risk of PCR (P~= .037), with an odds ratio of 1.66. The number of prior injections, indication for injections, and service undertaking the surgery were not associated with increased risk of PCR (P > .1).

CONCLUSIONS: Eyes with previous IVI have a higher risk of PCR. This is not affected by number of previous injections, indication for injections, or the specialty undertaking the surgery.

}, keywords = {Aged, Cataract Extraction, Female, Follow-Up Studies, Glucocorticoids, Humans, Incidence, Intraoperative Complications, Intravitreal Injections, Lens Capsule, Crystalline, Male, Posterior Capsular Rupture, Ocular, Retrospective Studies, Risk Factors, United Kingdom, Visual Acuity}, issn = {1879-1891}, doi = {10.1016/j.ajo.2017.02.006}, author = {Shalchi, Zaid and Okada, Mali and Whiting, Chris and Hamilton, Robin} } @article {1176, title = {Three-dimensional image reconstruction with free open-source {OsiriX} software in video-assisted thoracoscopic lobectomy and segmentectomy}, journal = {International Journal of Surgery (London, England)}, year = {2017}, abstract = {OBJECTIVE: The aim of this retrospective study was to evaluate the practice and the feasibility of Osirix, a free and open-source medical imaging software, in performing accurate video-assisted thoracoscopic lobectomy and segmentectomy. METHODS: From July 2014 to April 2016, 63 patients received anatomical video-assisted thoracoscopic surgery (VATS), either lobectomy or segmentectomy, in our department. Three-dimensional (3D) reconstruction images of 61 (96.8\%) patients were preoperatively obtained with contrast-enhanced computed tomography (CT). Preoperative resection simulations were accomplished with patient-individual reconstructed 3D images. For lobectomy, pulmonary lobar veins, arteries and bronchi were identified meticulously by carefully reviewing the 3D images on the display. For segmentectomy, the intrasegmental veins in the affected segment for division and the intersegmental veins to be preserved were identified on the 3D images. Patient preoperative characteristics, surgical outcomes and postoperative data were reviewed from a prospective database. RESULTS: The study cohort of 63 patients included 33 (52.4\%) men and 30 (47.6\%) women, of whom 46 (73.0\%) underwent VATS lobectomy and 17 (37.0\%) underwent VATS segmentectomy. There was 1 conversion from VATS lobectomy to open thoracotomy because of fibrocalcified lymph nodes. A VATS lobectomy was performed in 1 case after completing the segmentectomy because invasive adenocarcinoma was detected by intraoperative frozen-section analysis. There were no 30-day or 90-day operative mortalities CONCLUSIONS: The free, simple, and user-friendly software program Osirix can provide a 3D anatomic structure of pulmonary vessels and a clear vision into the space between the lesion and adjacent tissues, which allows surgeons to make preoperative simulations and improve the accuracy and safety of actual surgery.}, keywords = {Lobectomy, Segmentectomy, Three-dimensional reconstruction technique, Video-assisted thoracoscopic surgery}, issn = {1743-9159}, doi = {10.1016/j.ijsu.2017.01.079}, author = {Yao, Fei and Wang, Jian and Yao, Ju and Hang, Fangrong and Lei, Xu and Cao, Yongke} } @article {1237, title = {Automating indicator data reporting from health facility EMR to a national aggregate data system in Kenya: An Interoperability field-test using OpenMRS and DHIS2.}, journal = {Online J Public Health Inform}, volume = {8}, year = {2016}, month = {2016}, pages = {e188}, abstract = {

Developing countries are increasingly strengthening national health information systems (HIS) for evidence-based decision-making. However, the inability to report indicator data automatically from electronic medical record systems (EMR) hinders this process. Data are often printed and manually re-entered into aggregate reporting systems. This affects data completeness, accuracy, reporting timeliness, and burdens staff who support routine indicator reporting from patient-level data. After conducting a feasibility test to exchange indicator data from Open Medical Records System (OpenMRS) to District Health Information System version 2 (DHIS2), we conducted a field test at a health facility in Kenya. We configured a field-test DHIS2 instance, similar to the Kenya Ministry of Health (MOH) DHIS2, to receive HIV care and treatment indicator data and the KenyaEMR, a customized version of OpenMRS, to generate and transmit the data from a health facility. After training facility staff how to send data using DHIS2 reporting module, we compared completeness, accuracy and timeliness of automated indicator reporting with facility monthly reports manually entered into MOH DHIS2. All 45 data values in the automated reporting process were 100\% complete and accurate while in manual entry process, data completeness ranged from 66.7\% to 100\% and accuracy ranged from 33.3\% to 95.6\% for seven months (July 2013-January 2014). Manual tally and entry process required at least one person to perform each of the five reporting activities, generating data from EMR and manual entry required at least one person to perform each of the three reporting activities, while automated reporting process had one activity performed by one person. Manual tally and entry observed in October 2013 took 375 minutes. Average time to generate data and manually enter into DHIS2 was over half an hour (M=32.35 mins, SD=0.29) compared to less than a minute for automated submission (M=0.19 mins, SD=0.15). The results indicate that indicator data sent electronically from OpenMRS-based EMR at a health facility to DHIS2 improves data completeness, eliminates transcription errors and delays in reporting, and reduces the reporting burden on human resources. This increases availability of quality indicator data using available resources to facilitate monitoring service delivery and measuring progress towards set goals.

}, issn = {1947-2579}, doi = {10.5210/ojphi.v8i2.6722}, author = {Kariuki, James M and Manders, Eric-Jan and Richards, Janise and Oluoch, Tom and Kimanga, Davies and Wanyee, Steve and Kwach, James O and Santas, Xenophon} } @inbook {1119, title = {BiobankCloud: A Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets}, booktitle = {Biomedical Data Management and Graph Online Querying: VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 {\textendash} September 4, 2015, Revised Selected Papers}, year = {2016}, pages = {89{\textendash}105}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {Biobanks store and catalog human biological material that is increasingly being digitized using next-generation sequencing (NGS). There is, however, a computational bottleneck, as existing software systems are not scalable and secure enough to store and process the incoming wave of genomic data from NGS machines. In the BiobankCloud project, we are building a Hadoop-based platform for the secure storage, sharing, and parallel processing of genomic data. We extended Hadoop to include support for multi-tenant studies, reduced storage requirements with erasure coding, and added support for extensible and consistent metadata. On top of Hadoop, we built a scalable scientific workflow engine featuring a proper workflow definition language focusing on simple integration and chaining of existing tools, adaptive scheduling on Apache Yarn, and support for iterative dataflows. Our platform also supports the secure sharing of data across different, distributed Hadoop clusters. The software is easily installed and comes with a user-friendly web interface for running, managing, and accessing data sets behind a secure 2-factor authentication. Initial tests have shown that the engine scales well to dozens of nodes. The entire system is open-source and includes pre-defined workflows for popular tasks in biomedical data analysis, such as variant identification, differential transcriptome analysis using RNA-Seq, and analysis of miRNA-Seq and ChIP-Seq data.}, isbn = {978-3-319-41576-5}, doi = {10.1007/978-3-319-41576-5_7}, url = {http://dx.doi.org/10.1007/978-3-319-41576-5_7}, author = {Bessani, Alysson and Brandt, J{\"o}rgen and Bux, Marc and Cogo, Vinicius and Dimitrova, Lora and Dowling, Jim and Gholami, Ali and Hakimzadeh, Kamal and Hummel, Micheal and Ismail, Mahmoud and Laure, Erwin and Leser, Ulf and Litton, Jan-Eric and Martinez, Roxanna and Niazi, Salman and Reichel, Jane and Zimmermann, Karin}, editor = {Wang, Fusheng and Luo, Gang and Weng, Chunhua and Khan, Arijit and Mitra, Prasenjit and Yu, Cong} } @article {1288, title = {Collaborative analysis of multi-gigapixel imaging data using Cytomine.}, journal = {Bioinformatics}, volume = {32}, year = {2016}, month = {2016 05 01}, pages = {1395-401}, abstract = {

MOTIVATION: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries.

RESULTS: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications.

AVAILABILITY AND IMPLEMENTATION: Cytomine (http://www.cytomine.be/) is freely available under an open-source license from http://github.com/cytomine/ A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available.

CONTACT: info@cytomine.be

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

}, keywords = {Image Interpretation, Computer-Assisted, Internet, Software, Statistics as Topic}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btw013}, author = {Mar{\'e}e, Rapha{\"e}l and Rollus, Lo{\"\i}c and St{\'e}vens, Benjamin and Hoyoux, Renaud and Louppe, Gilles and Vandaele, R{\'e}my and Begon, Jean-Michel and Kainz, Philipp and Geurts, Pierre and Wehenkel, Louis} } @article {1130, title = {Development of an open technology sensor suite for assisted living: a student-led research project.}, journal = {Interface Focus}, volume = {6}, year = {2016}, month = {2016 Aug 6}, pages = {20160018}, abstract = {

Many countries have a rapidly ageing population, placing strain on health services and creating a growing market for assistive technology for older people. We have, through a student-led, 12-week project for 10 students from a variety of science and engineering backgrounds, developed an integrated sensor system to enable older people, or those at risk, to live independently in their own homes for longer, while providing reassurance for their family and carers. We provide details on the design procedure and performance of our sensor system and the management and execution of a short-term, student-led research project. Detailed information on the design and use of our devices, including a door sensor, power monitor, fall detector, general in-house sensor unit and easy-to-use location-aware communications device, is given, with our open designs being contrasted with closed proprietary systems. A case study is presented for the use of our devices in a real-world context, along with a comparison with commercially available systems. We discuss how the system could lead to improvements in the quality of life of older users and increase the effectiveness of their associated care network. We reflect on how recent developments in open source technology and rapid prototyping increase the scope and potential for the development of powerful sensor systems and, finally, conclude with a student perspective on this team effort and highlight learning outcomes, arguing that open technologies will revolutionize the way in which technology will be deployed in academic research in the future.

}, issn = {2042-8898}, doi = {10.1098/rsfs.2016.0018}, author = {Manton, James D and Hughes, Josephine A E and Bonner, Oliver and Amjad, Omar A and Mair, Philip and Miele, Isabella and Wang, Tiesheng and Levdik, Vitaly and Hall, Richard D and Baekelandt, G{\'e}raldine and Vasconcellos, Fernando da Cruz and Hadeler, Oliver and Hutter, Tanya and Kaminski, Clemens F} } @article {1150, title = {Free and open-source automated 3-D microscope.}, journal = {J Microsc}, year = {2016}, month = {2016 Aug 29}, abstract = {

Open-source technology not only has facilitated the expansion of the greater research community, but by lowering costs it has encouraged innovation and customizable design. The field of automated microscopy has continued to be a challenge in accessibility due the expense and inflexible, noninterchangeable stages. This paper presents a low-cost, open-source microscope 3-D stage. A RepRap 3-D printer was converted to an optical microscope equipped with a customized, 3-D printed holder for a USB microscope. Precision measurements were determined to have an average error of 10 μm at the maximum speed and 27 μm at the minimum recorded speed. Accuracy tests yielded an error of 0.15\%. The machine is a true 3-D stage and thus able to operate with USB microscopes or conventional desktop microscopes. It is larger than all commercial alternatives, and is thus capable of high-depth images over unprecedented areas and complex geometries. The repeatability is below 2-D microscope stages, but testing shows that it is adequate for the majority of scientific applications. The open-source microscope stage costs less than 3-9\% of the closest proprietary commercial stages. This extreme affordability vastly improves accessibility for 3-D microscopy throughout the world.

}, issn = {1365-2818}, doi = {10.1111/jmi.12433}, author = {Wijnen, Bas and Petersen, Emily E and Hunt, Emily J and Pearce, Joshua M} } @article {1137, title = {How open science helps researchers succeed.}, journal = {Elife}, volume = {5}, year = {2016}, month = {2016}, abstract = {

Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how sharing their work will affect their careers. We review literature demonstrating that open research is associated with increases in citations, media attention, potential collaborators, job opportunities and funding opportunities. These findings are evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices.

}, issn = {2050-084X}, doi = {10.7554/eLife.16800}, author = {McKiernan, Erin C and Bourne, Philip E and Brown, C Titus and Buck, Stuart and Kenall, Amye and Lin, Jennifer and McDougall, Damon and Nosek, Brian A and Ram, Karthik and Soderberg, Courtney K and Spies, Jeffrey R and Thaney, Kaitlin and Updegrove, Andrew and Woo, Kara H and Yarkoni, Tal} } @article {1131, title = {Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.}, journal = {Med Image Anal}, year = {2016}, month = {2016 Jul 7}, abstract = {

The National Alliance for Medical Image Computing (NA-MIC) was launched in 2004 with the goal of investigating and developing an open source software infrastructure for the extraction of information and knowledge from medical images using computational methods. Several leading research and engineering groups participated in this effort that was funded by the US National Institutes of Health through a variety of infrastructure grants. This effort transformed 3D Slicer from an internal, Boston-based, academic research software application into a professionally maintained, robust, open source platform with an international leadership and developer and user communities. Critical improvements to the widely used underlying open source libraries and tools-VTK, ITK, CMake, CDash, DCMTK-were an additional consequence of this effort. This project has contributed to close to a thousand peer-reviewed publications and a growing portfolio of US and international funded efforts expanding the use of these tools in new medical computing applications every year. In this editorial, we discuss what we believe are gaps in the way medical image computing is pursued today; how a well-executed research platform can enable discovery, innovation and reproducible science ("Open Science"); and how our quest to build such a software platform has evolved into a productive and rewarding social engineering exercise in building an open-access community with a shared vision.

}, issn = {1361-8423}, doi = {10.1016/j.media.2016.06.035}, author = {Kapur, Tina and Pieper, Steve and Fedorov, Andriy and Fillion-Robin, J-C and Halle, Michael and O{\textquoteright}Donnell, Lauren and Lasso, Andras and Ungi, Tamas and Pinter, Csaba and Finet, Julien and Pujol, Sonia and Jagadeesan, Jayender and Tokuda, Junichi and Norton, Isaiah and Estepar, Raul San Jose and Gering, David and Aerts, Hugo J W L and Jakab, Marianna and Hata, Nobuhiko and Ibanez, Luiz and Blezek, Daniel and Miller, Jim and Aylward, Stephen and Grimson, W Eric L and Fichtinger, Gabor and Wells, William M and Lorensen, William E and Schroeder, Will and Kikinis, Ron} } @article {1162, title = {Jenkins-{CI}, an {Open}-{Source} {Continuous} {Integration} {System}, as a {Scientific} {Data} and {Image}-{Processing} {Platform}}, journal = {Journal of Biomolecular Screening}, year = {2016}, abstract = {High-throughput screening generates large volumes of heterogeneous data that require a diverse set of computational tools for management, processing, and analysis. Building integrated, scalable, and robust computational workflows for such applications is challenging but highly valuable. Scientific data integration and pipelining facilitate standardized data processing, collaboration, and reuse of best practices. We describe how Jenkins-CI, an "off-the-shelf," open-source, continuous integration system, is used to build pipelines for processing images and associated data from high-content screening (HCS). Jenkins-CI provides numerous plugins for standard compute tasks, and its design allows the quick integration of external scientific applications. Using Jenkins-CI, we integrated CellProfiler, an open-source image-processing platform, with various HCS utilities and a high-performance Linux cluster. The platform is web-accessible, facilitates access and sharing of high-performance compute resources, and automates previously cumbersome data and image-processing tasks. Imaging pipelines developed using the desktop CellProfiler client can be managed and shared through a centralized Jenkins-CI repository. Pipelines and managed data are annotated to facilitate collaboration and reuse. Limitations with Jenkins-CI (primarily around the user interface) were addressed through the selection of helper plugins from the Jenkins-CI community.}, keywords = {CellProfiler, continuous integration, high-content screening, high-performance computing}, issn = {1552-454X}, doi = {10.1177/1087057116679993}, author = {Moutsatsos, Ioannis K. and Hossain, Imtiaz and Agarinis, Claudia and Harbinski, Fred and Abraham, Yann and Dobler, Luc and Zhang, Xian and Wilson, Christopher J. and Jenkins, Jeremy L. and Holway, Nicholas and Tallarico, John and Parker, Christian N.} } @article {1151, title = {A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).}, journal = {J Am Med Inform Assoc}, year = {2016}, month = {2016 Aug 18}, abstract = {

OBJECTIVE: The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current clinical natural language processing (NLP) systems{\textquoteright} capability to handle abbreviations in clinical narratives.

METHODS: We developed an open-source framework for clinical abbreviation recognition and disambiguation (CARD) that leverages our previously developed methods, including: (1) machine learning based approaches to recognize abbreviations from a clinical corpus, (2) clustering-based semiautomated methods to generate possible senses of abbreviations, and (3) profile-based word sense disambiguation methods for clinical abbreviations. We applied CARD to clinical corpora from Vanderbilt University Medical Center (VUMC) and generated 2 comprehensive sense inventories for abbreviations in discharge summaries and clinic visit notes. Furthermore, we developed a wrapper that integrates CARD with MetaMap, a widely used general clinical NLP system.Results and Conclusion CARD detected 27 317 and 107 303 distinct abbreviations from discharge summaries and clinic visit notes, respectively. Two sense inventories were constructed for the 1000 most frequent abbreviations in these 2 corpora. Using the sense inventories created from discharge summaries, CARD achieved an F1 score of 0.755 for identifying and disambiguating all abbreviations in a corpus from the VUMC discharge summaries, which is superior to MetaMap and Apache{\textquoteright}s clinical Text Analysis Knowledge Extraction System (cTAKES). Using additional external corpora, we also demonstrated that the MetaMap-CARD wrapper improved MetaMap{\textquoteright}s performance in recognizing disorder entities in clinical notes. The CARD framework, 2 sense inventories, and the wrapper for MetaMap are publicly available at https://sbmi.uth.edu/ccb/resources/abbreviation.htm We believe the CARD framework can be a valuable resource for improving abbreviation identification in clinical NLP systems.

}, issn = {1527-974X}, doi = {10.1093/jamia/ocw109}, author = {Wu, Yonghui and Denny, Joshua C and Rosenbloom, S Trent and Miller, Randolph A and Giuse, Dario A and Wang, Lulu and Blanquicett, Carmelo and Soysal, Ergin and Xu, Jun and Xu, Hua} } @article {1170, title = {Open {Source} {Drug} {Discovery}: {Highly} {Potent} {Antimalarial} {Compounds} {Derived} from the {Tres} {Cantos} {Arylpyrroles}}, journal = {ACS central science}, volume = {2}, year = {2016}, pages = {687{\textendash}701}, abstract = {The development of new antimalarial compounds remains a pivotal part of the strategy for malaria elimination. Recent large-scale phenotypic screens have provided a wealth of potential starting points for hit-to-lead campaigns. One such public set is explored, employing an open source research mechanism in which all data and ideas were shared in real time, anyone was able to participate, and patents were not sought. One chemical subseries was found to exhibit oral activity but contained a labile ester that could not be replaced without loss of activity, and the original hit exhibited remarkable sensitivity to minor structural change. A second subseries displayed high potency, including activity within gametocyte and liver stage assays, but at the cost of low solubility. As an open source research project, unexplored avenues are clearly identified and may be explored further by the community; new findings may be cumulatively added to the present work.}, issn = {2374-7943}, doi = {10.1021/acscentsci.6b00086}, author = {Williamson, Alice E. and Ylioja, Paul M. and Robertson, Murray N. and Antonova-Koch, Yevgeniya and Avery, Vicky and Baell, Jonathan B. and Batchu, Harikrishna and Batra, Sanjay and Burrows, Jeremy N. and Bhattacharyya, Soumya and Calderon, Felix and Charman, Susan A. and Clark, Julie and Crespo, Benigno and Dean, Matin and Debbert, Stefan L. and Delves, Michael and Dennis, Adelaide S. M. and Deroose, Frederik and Duffy, Sandra and Fletcher, Sabine and Giaever, Guri and Hallyburton, Irene and Gamo, Francisco-Javier and Gebbia, Marinella and Guy, R. Kiplin and Hungerford, Zoe and Kirk, Kiaran and Lafuente-Monasterio, Maria J. and Lee, Anna and Meister, Stephan and Nislow, Corey and Overington, John P. and Papadatos, George and Patiny, Luc and Pham, James and Ralph, Stuart A. and Ruecker, Andrea and Ryan, Eileen and Southan, Christopher and Srivastava, Kumkum and Swain, Chris and Tarnowski, Matthew J. and Thomson, Patrick and Turner, Peter and Wallace, Iain M. and Wells, Timothy N. C. and White, Karen and White, Laura and Willis, Paul and Winzeler, Elizabeth A. and Wittlin, Sergio and Todd, Matthew H.} } @article {1121, title = {Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond.}, journal = {PLoS Pathog}, volume = {12}, year = {2016}, month = {2016 Jul}, pages = {e1005763}, abstract = {

A major cause of the paucity of new starting points for drug discovery is the lack of interaction between academia and industry. Much of the global resource in biology is present in universities, whereas the focus of medicinal chemistry is still largely within industry. Open source drug discovery, with sharing of information, is clearly a first step towards overcoming this gap. But the interface could especially be bridged through a scale-up of open sharing of physical compounds, which would accelerate the finding of new starting points for drug discovery. The Medicines for Malaria Venture Malaria Box is a collection of over 400 compounds representing families of structures identified in phenotypic screens of pharmaceutical and academic libraries against the Plasmodium falciparum malaria parasite. The set has now been distributed to almost 200 research groups globally in the last two years, with the only stipulation that information from the screens is deposited in the public domain. This paper reports for the first time on 236 screens that have been carried out against the Malaria Box and compares these results with 55 assays that were previously published, in a format that allows a meta-analysis of the combined dataset. The combined biochemical and cellular assays presented here suggest mechanisms of action for 135 (34\%) of the compounds active in killing multiple life-cycle stages of the malaria parasite, including asexual blood, liver, gametocyte, gametes and insect ookinete stages. In addition, many compounds demonstrated activity against other pathogens, showing hits in assays with 16 protozoa, 7 helminths, 9 bacterial and mycobacterial species, the dengue fever mosquito vector, and the NCI60 human cancer cell line panel of 60 human tumor cell lines. Toxicological, pharmacokinetic and metabolic properties were collected on all the compounds, assisting in the selection of the most promising candidates for murine proof-of-concept experiments and medicinal chemistry programs. The data for all of these assays are presented and analyzed to show how outstanding leads for many indications can be selected. These results reveal the immense potential for translating the dispersed expertise in biological assays involving human pathogens into drug discovery starting points, by providing open access to new families of molecules, and emphasize how a small additional investment made to help acquire and distribute compounds, and sharing the data, can catalyze drug discovery for dozens of different indications. Another lesson is that when multiple screens from different groups are run on the same library, results can be integrated quickly to select the most valuable starting points for subsequent medicinal chemistry efforts.

}, issn = {1553-7374}, doi = {10.1371/journal.ppat.1005763}, author = {Van Voorhis, Wesley C and Adams, John H and Adelfio, Roberto and Ahyong, Vida and Akabas, Myles H and Alano, Pietro and Alday, Aintzane and Alem{\'a}n Resto, Yesmalie and Alsibaee, Aishah and Alzualde, Ainhoa and Andrews, Katherine T and Avery, Simon V and Avery, Vicky M and Ayong, Lawrence and Baker, Mark and Baker, Stephen and Ben Mamoun, Choukri and Bhatia, Sangeeta and Bickle, Quentin and Bounaadja, Lotfi and Bowling, Tana and Bosch, J{\"u}rgen and Boucher, Lauren E and Boyom, Fabrice F and Brea, Jose and Brennan, Marian and Burton, Audrey and Caffrey, Conor R and Camarda, Grazia and Carrasquilla, Manuela and Carter, Dee and Belen Cassera, Maria and Chih-Chien Cheng, Ken and Chindaudomsate, Worathad and Chubb, Anthony and Colon, Beatrice L and Col{\'o}n-L{\'o}pez, Daisy D and Corbett, Yolanda and Crowther, Gregory J and Cowan, Noemi and D{\textquoteright}Alessandro, Sarah and Le Dang, Na and Delves, Michael and DeRisi, Joseph L and Du, Alan Y and Duffy, Sandra and Abd El-Salam El-Sayed, Shimaa and Ferdig, Michael T and Fern{\'a}ndez Robledo, Jos{\'e} A and Fidock, David A and Florent, Isabelle and Fokou, Patrick V T and Galstian, Ani and Gamo, Francisco Javier and Gokool, Suzanne and Gold, Ben and Golub, Todd and Goldgof, Gregory M and Guha, Rajarshi and Guiguemde, W Armand and Gural, Nil and Guy, R Kiplin and Hansen, Michael A E and Hanson, Kirsten K and Hemphill, Andrew and Hooft van Huijsduijnen, Rob and Horii, Takaaki and Horrocks, Paul and Hughes, Tyler B and Huston, Christopher and Igarashi, Ikuo and Ingram-Sieber, Katrin and Itoe, Maurice A and Jadhav, Ajit and Naranuntarat Jensen, Amornrat and Jensen, Laran T and Jiang, Rays H Y and Kaiser, Annette and Keiser, Jennifer and Ketas, Thomas and Kicka, Sebastien and Kim, Sunyoung and Kirk, Kiaran and Kumar, Vidya P and Kyle, Dennis E and Lafuente, Maria Jose and Landfear, Scott and Lee, Nathan and Lee, Sukjun and Lehane, Adele M and Li, Fengwu and Little, David and Liu, Liqiong and Llin{\'a}s, Manuel and Loza, Maria I and Lubar, Aristea and Lucantoni, Leonardo and Lucet, Isabelle and Maes, Louis and Mancama, Dalu and Mansour, Nuha R and March, Sandra and McGowan, Sheena and Medina Vera, Iset and Meister, Stephan and Mercer, Luke and Mestres, Jordi and Mfopa, Alvine N and Misra, Raj N and Moon, Seunghyun and Moore, John P and Morais Rodrigues da Costa, Francielly and M{\"u}ller, Joachim and Muriana, Arantza and Nakazawa Hewitt, Stephen and Nare, Bakela and Nathan, Carl and Narraidoo, Nathalie and Nawaratna, Sujeevi and Ojo, Kayode K and Ortiz, Diana and Panic, Gordana and Papadatos, George and Parapini, Silvia and Patra, Kailash and Pham, Ngoc and Prats, Sarah and Plouffe, David M and Poulsen, Sally-Ann and Pradhan, Anupam and Quevedo, Celia and Quinn, Ronald J and Rice, Christopher A and Abdo Rizk, Mohamed and Ruecker, Andrea and St Onge, Robert and Salgado Ferreira, Rafaela and Samra, Jasmeet and Robinett, Natalie G and Schlecht, Ulrich and Schmitt, Marjorie and Silva Villela, Filipe and Silvestrini, Francesco and Sinden, Robert and Smith, Dennis A and Soldati, Thierry and Spitzm{\"u}ller, Andreas and Stamm, Serge Maximilian and Sullivan, David J and Sullivan, William and Suresh, Sundari and Suzuki, Brian M and Suzuki, Yo and Swamidass, S Joshua and Taramelli, Donatella and Tchokouaha, Lauve R Y and Theron, Anjo and Thomas, David and Tonissen, Kathryn F and Townson, Simon and Tripathi, Abhai K and Trofimov, Valentin and Udenze, Kenneth O and Ullah, Imran and Vallieres, Cindy and Vigil, Edgar and Vinetz, Joseph M and Voong Vinh, Phat and Vu, Hoan and Watanabe, Nao-Aki and Weatherby, Kate and White, Pamela M and Wilks, Andrew F and Winzeler, Elizabeth A and Wojcik, Edward and Wree, Melanie and Wu, Wesley and Yokoyama, Naoaki and Zollo, Paul H A and Abla, Nada and Blasco, Benjamin and Burrows, Jeremy and Laleu, Beno{\^\i}t and Leroy, Didier and Spangenberg, Thomas and Wells, Timothy and Willis, Paul A} } @article {1148, title = {Open-source, small-animal magnetic resonance-guided focused ultrasound system.}, journal = {J Ther Ultrasound}, volume = {4}, year = {2016}, month = {2016}, pages = {22}, abstract = {

BACKGROUND: MR-guided focused ultrasound or high-intensity focused ultrasound (MRgFUS/MRgHIFU) is a non-invasive therapeutic modality with many potential applications in areas such as cancer therapy, drug delivery, and blood-brain barrier opening. However, the large financial costs involved in developing preclinical MRgFUS systems represent a barrier to research groups interested in developing new techniques and applications. We aim to mitigate these challenges by detailing a validated, open-source preclinical MRgFUS system capable of delivering thermal and mechanical FUS in a quantifiable and repeatable manner under real-time MRI guidance.

METHODS: A hardware and software package was developed that includes closed-loop feedback controlled thermometry code and CAD drawings for a therapy table designed for a preclinical MRI scanner. For thermal treatments, the modular software uses a proportional integral derivative controller to maintain a precise focal temperature rise in the target given input from MR phase images obtained concurrently. The software computes the required voltage output and transmits it to a FUS transducer that is embedded in the delivery table within the magnet bore. The delivery table holds the FUS transducer, a small animal and its monitoring equipment, and a transmit/receive RF coil. The transducer is coupled to the animal via a water bath and is translatable in two dimensions from outside the magnet. The transducer is driven by a waveform generator and amplifier controlled by real-time software in Matlab. MR acoustic radiation force imaging is also implemented to confirm the position of the focus for mechanical and thermal treatments.

RESULTS: The system was validated in tissue-mimicking phantoms and in vivo during murine tumor hyperthermia treatments. Sonications were successfully controlled over a range of temperatures and thermal doses for up to 20 min with minimal temperature overshoot. MR thermometry was validated with an optical temperature probe, and focus visualization was achieved with acoustic radiation force imaging.

CONCLUSIONS: We developed an MRgFUS platform for small-animal treatments that robustly delivers accurate, precise, and controllable sonications over extended time periods. This system is an open source and could increase the availability of low-cost small-animal systems to interdisciplinary researchers seeking to develop new MRgFUS applications and technology.

}, issn = {2050-5736}, doi = {10.1186/s40349-016-0066-7}, author = {Poorman, Megan E and Chaplin, Vandiver L and Wilkens, Ken and Dockery, Mary D and Giorgio, Todd D and Grissom, William A and Caskey, Charles F} } @article {1164, title = {Process control charts in infection prevention: {Make} it simple to make it happen}, journal = {American Journal of Infection Control}, year = {2016}, abstract = {BACKGROUND: Quality improvement is central to Infection Prevention and Control (IPC) programs. Challenges may occur when applying quality improvement methodologies like process control charts, often due to the limited exposure of typical IPs. Because of this, our team created an open-source database with a process control chart generator for IPC programs. The objectives of this report are to outline the development of the application and demonstrate application using simulated data. METHODS: We used Research Electronic Data Capture (REDCap Consortium, Vanderbilt University, Nashville, TN), R (R Foundation for Statistical Computing, Vienna, Austria), and R Studio Shiny (R Foundation for Statistical Computing) to create an open source data collection system with automated process control chart generation. We used simulated data to test and visualize both in-control and out-of-control processes for commonly used metrics in IPC programs. RESULTS: The R code for implementing the control charts and Shiny application can be found on our Web site (https://github.com/ul-research-support/spcapp). Screen captures of the workflow and simulated data indicating both common cause and special cause variation are provided. CONCLUSIONS: Process control charts can be easily developed based on individual facility needs using freely available software. Through providing our work free to all interested parties, we hope that others will be able to harness the power and ease of use of the application for improving the quality of care and patient safety in their facilities.}, keywords = {Health care-associated infection, Quality Improvement, Surveillance}, issn = {1527-3296}, doi = {10.1016/j.ajic.2016.09.021}, author = {Wiemken, Timothy L. and Furmanek, Stephen P. and Carrico, Ruth M. and Mattingly, William A. and Persaud, Annuradha K. and Guinn, Brian E. and Kelley, Robert R. and Ramirez, Julio A.} } @article {1156, title = {{SimVascular}: {An} {Open} {Source} {Pipeline} for {Cardiovascular} {Simulation}}, journal = {Annals of Biomedical Engineering}, year = {2016}, abstract = {Patient-specific cardiovascular simulation has become a paradigm in cardiovascular research and is emerging as a powerful tool in basic, translational and clinical research. In this paper we discuss the recent development of a fully open-source SimVascular software package, which provides a complete pipeline from medical image data segmentation to patient-specific blood flow simulation and analysis. This package serves as a research tool for cardiovascular modeling and simulation, and has contributed to numerous advances in personalized medicine, surgical planning and medical device design. The SimVascular software has recently been refactored and expanded to enhance functionality, usability, efficiency and accuracy of image-based patient-specific modeling tools. Moreover, SimVascular previously required several licensed components that hindered new user adoption and code management and our recent developments have replaced these commercial components to create a fully open source pipeline. These developments foster advances in cardiovascular modeling research, increased collaboration, standardization of methods, and a growing developer community.}, keywords = {Hemodynamics, Image-based CFD, open-source, Patient-specific modeling}, issn = {1573-9686}, doi = {10.1007/s10439-016-1762-8}, author = {Updegrove, Adam and Wilson, Nathan M. and Merkow, Jameson and Lan, Hongzhi and Marsden, Alison L. and Shadden, Shawn C.} } @article {1062, title = {Archetype relational mapping - a practical openEHR persistence solution.}, journal = {BMC Med Inform Decis Mak}, volume = {15}, year = {2015}, month = {2015}, pages = {88}, abstract = {

BACKGROUND: One of the primary obstacles to the widespread adoption of openEHR methodology is the lack of practical persistence solutions for future-proof electronic health record (EHR) systems as described by the openEHR specifications. This paper presents an archetype relational mapping (ARM) persistence solution for the archetype-based EHR systems to support healthcare delivery in the clinical environment.

METHODS: First, the data requirements of the EHR systems are analysed and organized into archetype-friendly concepts. The Clinical Knowledge Manager (CKM) is queried for matching archetypes; when necessary, new archetypes are developed to reflect concepts that are not encompassed by existing archetypes. Next, a template is designed for each archetype to apply constraints related to the local EHR context. Finally, a set of rules is designed to map the archetypes to data tables and provide data persistence based on the relational database.

RESULTS: A comparison study was conducted to investigate the differences among the conventional database of an EHR system from a tertiary Class A hospital in China, the generated ARM database, and the Node + Path database. Five data-retrieving tests were designed based on clinical workflow to retrieve exams and laboratory tests. Additionally, two patient-searching tests were designed to identify patients who satisfy certain criteria. The ARM database achieved better performance than the conventional database in three of the five data-retrieving tests, but was less efficient in the remaining two tests. The time difference of query executions conducted by the ARM database and the conventional database is less than 130~\%. The ARM database was approximately 6-50 times more efficient than the conventional database in the patient-searching tests, while the Node + Path database requires far more time than the other two databases to execute both the data-retrieving and the patient-searching tests.

CONCLUSIONS: The ARM approach is capable of generating relational databases using archetypes and templates for archetype-based EHR systems, thus successfully adapting to changes in data requirements. ARM performance is similar to that of conventionally-designed EHR systems, and can be applied in a practical clinical environment. System components such as ARM can greatly facilitate the adoption of openEHR architecture within EHR systems.

}, issn = {1472-6947}, doi = {10.1186/s12911-015-0212-0}, author = {Wang, Li and Min, Lingtong and Wang, Rui and Lu, Xudong and Duan, Huilong} } @article {992, title = {A case study in open source innovation: developing the Tidepool Platform for interoperability in type 1 diabetes management.}, journal = {J Am Med Inform Assoc}, year = {2015}, month = {2015 Sep 2}, abstract = {

OBJECTIVE: Develop a device-agnostic cloud platform to host diabetes device data and catalyze an ecosystem of software innovation for type 1 diabetes (T1D) management.

MATERIALS AND METHODS: An interdisciplinary team decided to establish a nonprofit company, Tidepool, and build open-source software.

RESULTS: Through a user-centered design process, the authors created a software platform, the Tidepool Platform, to upload and host T1D device data in an integrated, device-agnostic fashion, as well as an application ("app"), Blip, to visualize the data. Tidepool{\textquoteright}s software utilizes the principles of modular components, modern web design including REST APIs and JavaScript, cloud computing, agile development methodology, and robust privacy and security.

DISCUSSION: By consolidating the currently scattered and siloed T1D device data ecosystem into one open platform, Tidepool can improve access to the data and enable new possibilities and efficiencies in T1D clinical care and research. The Tidepool Platform decouples diabetes apps from diabetes devices, allowing software developers to build innovative apps without requiring them to design a unique back-end (e.g., database and security) or unique ways of ingesting device data. It allows people with T1D to choose to use any preferred app regardless of which device(s) they use.

CONCLUSION: The authors believe that the Tidepool Platform can solve two current problems in the T1D device landscape: 1) limited access to T1D device data and 2) poor interoperability of data from different devices. If proven effective, Tidepool{\textquoteright}s open source, cloud model for health data interoperability is applicable to other healthcare use cases.

}, issn = {1527-974X}, doi = {10.1093/jamia/ocv104}, author = {Neinstein, Aaron and Wong, Jenise and Look, Howard and Arbiter, Brandon and Quirk, Kent and McCanne, Steve and Sun, Yao and Blum, Michael and Adi, Saleh} } @article {1190, title = {caTissue Suite to OpenSpecimen: developing an extensible, open source, web-based biobanking management system}, journal = {Journal of biomedical informatics}, volume = {57}, year = {2015}, month = {2015/10/}, pages = {456 - 464}, abstract = {The National Cancer Institute (NCI) Cancer Biomedical Informatics Grid({\textregistered}) (caBIG({\textregistered})) program established standards and best practices for biorepository data management by creating an infrastructure to propagate biospecimen resource sharing while maintaining data integrity and security. caTissue suite, a biospecimen data management software tool, has evolved from this effort. More recently, the caTissue suite continues to evolve as an open source initiative known as OpenSpecimen. The essential functionality of OpenSpecimen includes the capture and representation of highly granular, hierarchically-structured data for biospecimen processing, quality assurance, tracking, and annotation. Ideal for multi-user and multi-site biorepository environments, OpenSpecimen permits role-based access to specific sets of data operations through a user-interface designed to accommodate varying workflows and unique user needs. The software is interoperable, both syntactically and semantically, with an array of other bioinformatics tools given its integration of standard vocabularies thus enabling research involving biospecimens. End-users are encouraged to share their day-to-day experiences in working with the application, thus providing to the community board insight into the needs and limitations which need be addressed. Users are also requested to review and validate new features through group testing environments and mock screens. Through this user interaction, application flexibility and interoperability have been recognized as necessary developmental focuses essential for accommodating diverse adoption scenarios and biobanking workflows to catalyze advances in biomedical research and operations. Given the diversity of biobanking practices and workforce roles, efforts have been made consistently to maintain robust data granularity while aiding user accessibility, data discoverability, and security within and across applications by providing a lower learning curve in using OpenSpecimen. Iterative development and testing cycles provide continuous maintenance and up-to-date capabilities for this freely available, open-access, web-based software application that is globally-adopted at over 25 institutions.}, isbn = {1532-04641532-0480}, doi = {10.1016/j.jbi.2015.08.020}, url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772150/}, author = {McIntosh, Leslie D and Sharma, Mukesh K and Mulvihill, David and Gupta, Snehil and Juehne, Anthony and George, Bijoy and Khot, Suhas B and Kaushal, Atul and Watson, Mark A and Nagarajan, Rakesh} } @article {1030, title = {Do interoperable national information systems enhance availability of data to assess the effect of scale-up of HIV services on health workforce deployment in resource-limited countries?}, journal = {Stud Health Technol Inform}, volume = {216}, year = {2015}, month = {2015}, pages = {677-81}, abstract = {

Sub-Saharan Africa (SSA) bears the heaviest burden of the HIV epidemic. Health workers play a critical role in the scale-up of HIV programs. SSA also has the weakest information and communication technology (ICT) infrastructure globally. Implementing interoperable national health information systems (HIS) is a challenge, even in developed countries. Countries in resource-limited settings have yet to demonstrate that interoperable systems can be achieved, and can improve quality of healthcare through enhanced data availability and use in the deployment of the health workforce. We established interoperable HIS integrating a Master Facility List (MFL), District Health Information Software (DHIS2), and Human Resources Information Systems (HRIS) through application programmers interfaces (API). We abstracted data on HIV care, health workers deployment, and health facilities geo-coordinates. Over 95\% of data elements were exchanged between the MFL-DHIS and HRIS-DHIS. The correlation between the number of HIV-positive clients and nurses and clinical officers in 2013 was R2=0.251 and R2=0.261 respectively. Wrong MFL codes, data type mis-match and hyphens in legacy data were key causes of data transmission errors. Lack of information exchange standards for aggregate data made programming time-consuming.

}, issn = {0926-9630}, author = {Oluoch, Tom and Muturi, David and Kiriinya, Rose and Waruru, Anthony and Lanyo, Kevin and Nguni, Robert and Ojwang, James and Waters, Keith P and Richards, Janise} } @article {1279, title = {Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study.}, journal = {Can Fam Physician}, volume = {61}, year = {2015}, month = {2015 Oct}, pages = {e474-83}, abstract = {

OBJECTIVE: To develop and test a variety of electronic medical record (EMR) search algorithms to allow clinicians to accurately identify their patients with asthma in order to enable improved care.

DESIGN: A retrospective chart analysis identified 5 relevant unique EMR information fields (electronic disease registry, cumulative patient profile, billing diagnostic code, medications, and chart notes); asthma-related search terms were designated for each field. The accuracy of each term was tested for its ability to identify the asthma patients among all patients whose charts were reviewed. Increasingly sophisticated search algorithms were then designed and evaluated by serially combining individual searches with Boolean operators.

SETTING: Two large academic primary care clinics in Hamilton, Ont.

PARTICIPANTS: Charts for 600 randomly selected patients aged 16 years and older identified in an initial EMR search as likely having asthma (n = 150), chronic obstructive pulmonary disease (n = 150), other respiratory conditions (n = 150), or nonrespiratory conditions (n = 150) were reviewed until 100 patients per category were identified (or until all available names were exhausted). A total of 398 charts were reviewed in full and included.

MAIN OUTCOME MEASURES: Sensitivity and specificity of each search for asthma diagnosis (against the reference standard of a physician chart review-based diagnosis).

RESULTS: Two physicians reviewed the charts identified in the initial EMR search using a standardized data collection form and ascribed the following diagnoses in 398 patients: 112 (28.1\%) had asthma, 81 (20.4\%) had chronic obstructive pulmonary disease, 104 (26.1\%) had other respiratory conditions, and 101 (25.4\%) had nonrespiratory conditions. Concordance between reviewers in chart abstraction diagnosis was high (κ = 0.89, 95\% CI 0.80 to 0.97). Overall, the algorithm searching for patients who had asthma in their cumulative patient profiles or for whom an asthma billing code had been used was the most accurate (sensitivity of 90.2\%, 95\% CI 87.3\% to 93.1\%; specificity of 83.9\%, 95\% CI 80.3\% to 87.5\%).

CONCLUSION: Usable, practical search algorithms that accurately identify patients with asthma in existing EMRs are presented. Clinicians can apply 1 of these algorithms to generate asthma registries for targeted quality improvement initiatives and outcome measurements. This methodology can be emulated for other diseases.

}, keywords = {Adult, Aged, Algorithms, Asthma, Data Accuracy, electronic health records, Female, Humans, Male, Middle Aged, Ontario, Primary Health Care, Pulmonary Disease, Chronic Obstructive, Registries, Retrospective Studies, Sensitivity and Specificity}, issn = {1715-5258}, author = {Xi, Nancy and Wallace, Rebecca and Agarwal, Gina and Chan, David and Gershon, Andrea and Gupta, Samir} } @article {1292, title = {Innovative Technological Approach to Ebola Virus Disease Outbreak Response in Nigeria Using the Open Data Kit and Form Hub Technology.}, journal = {PLoS One}, volume = {10}, year = {2015}, month = {2015}, pages = {e0131000}, abstract = {

The recent outbreak of Ebola Virus Disease (EVD) in West Africa has ravaged many lives. Effective containment of this outbreak relies on prompt and effective coordination and communication across various interventions; early detection and response being critical to successful control. The use of information and communications technology (ICT) in active surveillance has proved to be effective but its use in Ebola outbreak response has been limited. Due to the need for timeliness in reporting and communication for early discovery of new EVD cases and promptness in response; it became imperative to empower the response team members with technologies and solutions which would enable smooth and rapid data flow. The Open Data Kit and Form Hub technology were used in combination with the Dashboard technology and ArcGIS mapping for follow up of contacts, identification of cases, case investigation and management and also for strategic planning during the response. A remarkable improvement was recorded in the reporting of daily follow-up of contacts after the deployment of the integrated real time technology. The turnaround time between identification of symptomatic contacts and evacuation to the isolation facility and also for receipt of laboratory results was reduced and informed decisions could be taken by all concerned. Accountability in contact tracing was ensured by the use of a GPS enabled device. The use of innovative technologies in the response of the EVD outbreak in Nigeria contributed significantly to the prompt control of the outbreak and containment of the disease by providing a valuable platform for early warning and guiding early actions.

}, keywords = {Disease Outbreaks, Ebolavirus, Epidemiological Monitoring, Female, Hemorrhagic Fever, Ebola, Humans, Male, Medical Informatics, Nigeria}, issn = {1932-6203}, doi = {10.1371/journal.pone.0131000}, author = {Tom-Aba, Daniel and Olaleye, Adeniyi and Olayinka, Adebola Tolulope and Nguku, Patrick and Waziri, Ndadilnasiya and Adewuyi, Peter and Adeoye, Olawunmi and Oladele, Saliu and Adeseye, Aderonke and Oguntimehin, Olukayode and Shuaib, Faisal} } @article {974, title = {Omics Metadata Management Software (OMMS).}, journal = {Bioinformation}, volume = {11}, year = {2015}, month = {2015}, pages = {165-72}, abstract = {Next-generation sequencing projects have underappreciated information management tasks requiring detailed attention to specimen curation, nucleic acid sample preparation and sequence production methods required for downstream data processing, comparison, interpretation, sharing and reuse. The few existing metadata management tools for genome-based studies provide weak curatorial frameworks for experimentalists to store and manage idiosyncratic, project-specific information, typically offering no automation supporting unified naming and numbering conventions for sequencing production environments that routinely deal with hundreds, if not thousands of samples at a time. Moreover, existing tools are not readily interfaced with bioinformatics executables, (e.g., BLAST, Bowtie2, custom pipelines). Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and perform analyses and information management tasks via an intuitive web-based interface. Several use cases with short-read sequence datasets are provided to validate installation and integrated function, and suggest possible methodological road maps for prospective users. Provided examples highlight possible OMMS workflows for metadata curation, multistep analyses, and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for webbased deployment supporting geographically-dispersed projects. The OMMS was developed using an open-source software base, is flexible, extensible and easily installed and executed. The OMMS can be obtained at http://omms.sandia.gov.

AVAILABILITY: The OMMS can be obtained at http://omms.sandia.gov.

}, issn = {0973-2063}, doi = {10.6026/97320630011165}, author = {Perez-Arriaga, Martha O and Wilson, Susan and Williams, Kelly P and Schoeniger, Joseph and Waymire, Russel L and Powell, Amy Jo} } @article {976, title = {Open Drug Discovery Toolkit (ODDT): a new open-source player in the drug discovery field.}, journal = {J Cheminform}, volume = {7}, year = {2015}, month = {2015}, pages = {26}, abstract = {

BACKGROUND: There has been huge progress in the open cheminformatics field in both methods and software development. Unfortunately, there has been little effort to unite those methods and software into one package. We here describe the Open Drug Discovery Toolkit (ODDT), which aims to fulfill the need for comprehensive and open source drug discovery software.

RESULTS: The Open Drug Discovery Toolkit was developed as a free and open source tool for both computer aided drug discovery (CADD) developers and researchers. ODDT reimplements many state-of-the-art methods, such as machine learning scoring functions (RF-Score and NNScore) and wraps other external software to ease the process of developing CADD pipelines. ODDT is an out-of-the-box solution designed to be easily customizable and extensible. Therefore, users are strongly encouraged to extend it and develop new methods. We here present three use cases for ODDT in common tasks in computer-aided drug discovery.

CONCLUSION: Open Drug Discovery Toolkit is released on a permissive 3-clause BSD license for both academic and industrial use. ODDT{\textquoteright}s source code, additional examples and documentation are available on GitHub (https://github.com/oddt/oddt).

}, issn = {1758-2946}, doi = {10.1186/s13321-015-0078-2}, author = {W{\'o}jcikowski, Maciej and Zielenkiewicz, Piotr and Siedlecki, Pawel} } @article {985, title = {Open source libraries and frameworks for biological data visualisation: a guide for developers.}, journal = {Proteomics}, volume = {15}, year = {2015}, month = {2015 Apr}, pages = {1356-74}, abstract = {

Recent advances in high-throughput experimental techniques have led to an exponential increase in both the size and the complexity of the data sets commonly studied in biology. Data visualisation is increasingly used as the key to unlock this data, going from hypothesis generation to model evaluation and tool implementation. It is becoming more and more the heart of bioinformatics workflows, enabling scientists to reason and communicate more effectively. In parallel, there has been a corresponding trend towards the development of related software, which has triggered the maturation of different visualisation libraries and frameworks. For bioinformaticians, scientific programmers and software developers, the main challenge is to pick out the most fitting one(s) to create clear, meaningful and integrated data visualisation for their particular use cases. In this review, we introduce a collection of open source or free to use libraries and frameworks for creating data visualisation, covering the generation of a wide variety of charts and graphs. We will focus on software written in Java, JavaScript or Python. We truly believe this software offers the potential to turn tedious data into exciting visual stories.

}, issn = {1615-9861}, doi = {10.1002/pmic.201400377}, author = {Wang, Rui and Perez-Riverol, Yasset and Hermjakob, Henning and Vizca{\'\i}no, Juan Antonio} } @article {995, title = {OpenHELP (Heidelberg laparoscopy phantom): development of an open-source surgical evaluation and training tool.}, journal = {Surg Endosc}, year = {2015}, month = {2015 Feb 12}, abstract = {

BACKGROUND: Apart from animal testing and clinical trials, surgical research and laparoscopic training mainly rely on phantoms. The aim of this project was to design a phantom with realistic anatomy and haptic characteristics, modular design and easy reproducibility. The phantom was named open-source Heidelberg laparoscopic phantom (OpenHELP) and serves as an open-source platform.

METHODS: The phantom was based on an anonymized CT scan of a male patient. The anatomical structures were segmented to obtain digital three-dimensional models of the torso and the organs. The digital models were materialized via rapid prototyping. One flexible, using an elastic abdominal wall, and one rigid method, using a plastic shell, to simulate pneumoperitoneum were developed. Artificial organ production was carried out sequentially starting from raw gypsum models to silicone molds to final silicone casts. The reproduction accuracy was exemplarily evaluated for ten silicone rectum models by comparing the digital 3D surface of the original rectum with CT scan by calculating the root mean square error of surface variations. Haptic realism was also evaluated to find the most realistic silicone compositions on a visual analog scale (VAS, 0-10).

RESULTS: The rigid and durable plastic torso and soft silicone organs of the abdominal cavity were successfully produced. A simulation of pneumoperitoneum could be created successfully by both methods. The reproduction accuracy of ten silicone rectum models showed an average root mean square error of 2.26 (0-11.48) mm. Haptic realism revealed an average value on a VAS of 7.25 (5.2-9.6) for the most realistic rectum.

CONCLUSION: The OpenHELP phantom proved to be feasible and accurate. The phantom was consecutively applied frequently in the field of computer-assisted surgery at our institutions and is accessible as an open-source project at www.open-cas.org for the academic community.

}, issn = {1432-2218}, doi = {10.1007/s00464-015-4094-0}, author = {Kenngott, H G and W{\"u}nscher, J J and Wagner, M and Preukschas, A and Wekerle, A L and Neher, P and Suwelack, S and Speidel, S and Nickel, F and Oladokun, D and Maier-Hein, L and Dillmann, R and Meinzer, H P and M{\"u}ller-Stich, B P} } @article {1067, title = {Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.}, journal = {J Digit Imaging}, year = {2015}, month = {2015 Dec 7}, abstract = {

We present an open-source, picture archiving and communication system (PACS)-integrated radiation exposure extraction engine (RE3) that provides study-, series-, and slice-specific data for automated monitoring of computed tomography (CT) radiation exposure. RE3 was built using open-source components and seamlessly integrates with the PACS. RE3 calculations of dose length product (DLP) from the Digital imaging and communications in medicine (DICOM) headers showed high agreement (R (2) = 0.99) with the vendor dose pages. For study-specific outlier detection, RE3 constructs robust, automatically updating multivariable regression models to predict DLP in the context of patient gender and age, scan length, water-equivalent diameter (D w), and scanned body volume (SBV). As proof of concept, the model was trained on 811 CT chest, abdomen + pelvis (CAP) exams and 29 outliers were detected. The continuous variables used in the outlier detection model were scan length (R (2) = 0.45), D w (R (2) = 0.70), SBV (R (2) = 0.80), and age (R (2) = 0.01). The categorical variables were gender (male average 1182.7 {\textpm} 26.3 and female 1047.1 {\textpm} 26.9~mGy~cm) and pediatric status (pediatric average 710.7 {\textpm} 73.6~mGy~cm and adult 1134.5 {\textpm} 19.3~mGy~cm).

}, issn = {1618-727X}, doi = {10.1007/s10278-015-9852-y}, author = {Weisenthal, Samuel J and Folio, Les and Kovacs, William and Seff, Ari and Derderian, Vana and Summers, Ronald M and Yao, Jianhua} } @article {999, title = {Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics.}, journal = {J Biomed Inform}, volume = {55}, year = {2015}, month = {2015 Jun}, pages = {174-87}, abstract = {

This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastructure. OpenEHR is a dual model approach developed for the modelling of Hospital Information Systems enabling semantic interoperability. A holistic solution to this represents the use of dual model based Electronic Healthcare Record systems. Modelling data in the field of obstetrics is a challenge, since different regions demand locally specific information for the process of treatment. Smaller health units in developing countries like Brazil or Malaysia, which until recently handled automatable processes like the storage of sensitive patient data in paper form, start organizational reconstruction processes. This archetype proof-of-concept investigation has tried out some elements of the openEHR methodology in cooperation with a health unit in Colombo, Brazil. Two legal forms provided by the Brazilian Ministry of Health have been analyzed and classified into demographic and clinical data. LinkEHR-Ed editor was used to read, edit and create archetypes. Results show that 33 clinical and demographic concepts, which are necessary to cover data demanded by the Unified National Health System, were identified. Out of the concepts 61\% were reused and 39\% modified to cover domain requirements. The detailed process of reuse, modification and creation of archetypes is shown. We conclude that, although a major part of demographic and clinical patient data were already represented by existing archetypes, a significant part required major modifications. In this study openEHR proved to be a highly suitable tool in the modelling of complex health data. In combination with LinkEHR-Ed software it offers user-friendly and highly applicable tools, although the complexity built by the vast specifications requires expert networks to define generally excepted clinical models. Finally, this project has pointed out main benefits enclosing high coverage of obstetrics data on the Clinical Knowledge Manager, simple modelling, and wide network and support using openEHR. Moreover, barriers described are enclosing the allocation of clinical content to respective archetypes, as well as stagnant adaption of changes on the Clinical Knowledge Manager leading to redundant efforts in data contribution that need to be addressed in future works.

}, issn = {1532-0480}, doi = {10.1016/j.jbi.2015.04.004}, author = {Pahl, Christina and Zare, Mojtaba and Nilashi, Mehrbakhsh and de Faria Borges, Marco Aur{\'e}lio and Weingaertner, Daniel and Detschew, Vesselin and Supriyanto, Eko and Ibrahim, Othman} } @article {1064, title = {Software to Facilitate Remote Sensing Data Access for Disease Early Warning Systems.}, journal = {Environ Model Softw}, volume = {74}, year = {2015}, month = {2015 Dec 1}, pages = {247-257}, abstract = {

Satellite remote sensing produces an abundance of environmental data that can be used in the study of human health. To support the development of early warning systems for mosquito-borne diseases, we developed an open-source, client based software application to enable the Epidemiological Applications of Spatial Technologies (EASTWeb). Two major design decisions were full automation of the discovery, retrieval and processing of remote sensing data from multiple sources, and making the system easily modifiable in response to changes in data availability and user needs. Key innovations that helped to achieve these goals were the implementation of a software framework for data downloading and the design of a scheduler that tracks the complex dependencies among multiple data processing tasks and makes the system resilient to external errors. EASTWeb has been successfully applied to support forecasting of West Nile virus outbreaks in the United States and malaria epidemics in the Ethiopian highlands.

}, issn = {1364-8152}, doi = {10.1016/j.envsoft.2015.07.006}, author = {Liu, Yi and Hu, Jiameng and Snell-Feikema, Isaiah and VanBemmel, Michael S and Lamsal, Aashis and Wimberly, Michael C} } @article {986, title = {Taking advantage of continuity of care documents to populate a research repository.}, journal = {J Am Med Inform Assoc}, volume = {22}, year = {2015}, month = {2015 Mar}, pages = {370-9}, abstract = {

OBJECTIVE: Clinical data warehouses have accelerated clinical research, but even with available open source tools, there is a high barrier to entry due to the complexity of normalizing and importing data. The Office of the National Coordinator for Health Information Technology{\textquoteright}s Meaningful Use Incentive Program now requires that electronic health record systems produce standardized consolidated clinical document architecture (C-CDA) documents. Here, we leverage this data source to create a low volume standards based import pipeline for the Informatics for Integrating Biology and the Bedside (i2b2) clinical research platform. We validate this approach by creating a small repository at Partners Healthcare automatically from C-CDA documents.

MATERIALS AND METHODS: We designed an i2b2 extension to import C-CDAs into i2b2. It is extensible to other sites with variances in C-CDA format without requiring custom code. We also designed new ontology structures for querying the imported data.

RESULTS: We implemented our methodology at Partners Healthcare, where we developed an adapter to retrieve C-CDAs from Enterprise Services. Our current implementation supports demographics, encounters, problems, and medications. We imported approximately 17 000 clinical observations on 145 patients into i2b2 in about 24 min. We were able to perform i2b2 cohort finding queries and view patient information through SMART apps on the imported data.

DISCUSSION: This low volume import approach can serve small practices with local access to C-CDAs and will allow patient registries to import patient supplied C-CDAs. These components will soon be available open source on the i2b2 wiki.

CONCLUSIONS: Our approach will lower barriers to entry in implementing i2b2 where informatics expertise or data access are limited.

}, keywords = {Biomedical Research, Continuity of Patient Care, Database Management Systems, Databases as Topic, Humans, Information Storage and Retrieval, Meaningful Use, Systems Integration}, issn = {1527-974X}, doi = {10.1136/amiajnl-2014-003040}, author = {Klann, Jeffrey G and Mendis, Michael and Phillips, Lori C and Goodson, Alyssa P and Rocha, Beatriz H and Goldberg, Howard S and Wattanasin, Nich and Murphy, Shawn N} } @article {980, title = {Virtualization of Open-Source Secure Web Services to Support Data Exchange in a Pediatric Critical Care Research Network.}, journal = {J Am Med Inform Assoc}, year = {2015}, month = {2015 Mar 21}, abstract = {

OBJECTIVES: To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality.

MATERIAL AND METHODS: Virtual machines (VMs) encapsulated an open-source, semantically and syntactically interoperable secure web service infrastructure along with a shadow database. The VMs were deployed to 8 Collaborative Pediatric Critical Care Research Network Clinical Centers.

RESULTS: Virtual web services could be deployed in hours. The interoperability of the web services reduced format misalignment from 56\% to 1\% and demonstrated that 99\% of the data consistently transferred using the data dictionary and 1\% needed human curation.

CONCLUSIONS: Use of virtualized open-source secure web service technology could enable direct electronic abstraction of data from hospital databases for research purposes.

}, issn = {1527-974X}, doi = {10.1093/jamia/ocv009}, author = {Frey, Lewis J and Sward, Katherine A and Newth, Christopher Jl and Khemani, Robinder G and Cryer, Martin E and Thelen, Julie L and Enriquez, Rene and Shaoyu, Su and Pollack, Murray M and Harrison, Rick E and Meert, Kathleen L and Berg, Robert A and Wessel, David L and Shanley, Thomas P and Dalton, Heidi and Carcillo, Joseph and Jenkins, Tammara L and Dean, J Michael} } @article {1031, title = {Evaluation of software maintain ability with open EHR - a comparison of architectures.}, journal = {Int J Med Inform}, volume = {83}, year = {2014}, month = {2014 Nov}, pages = {849-59}, abstract = {

PURPOSE: To assess whether it is easier to maintain a clinical information system developed using open EHR model driven development versus mainstream methods.

METHODS: A new open source application (GastrOS) has been developed following open EHR{\textquoteright}s multi-level modelling approach using .Net/C$\#$ based on the same requirements of an existing clinically used application developed using Microsoft Visual Basic and Access database. Almost all the domain knowledge was embedded into the software code and data model in the latter. The same domain knowledge has been expressed as a set of open EHR Archetypes in GastrOS. We then introduced eight real-world change requests that had accumulated during live clinical usage, and implemented these in both systems while measuring time for various development tasks and change in software size for each change request.

RESULTS: Overall it took half the time to implement changes in GastrOS. However it was the more difficult application to modify for one change request, suggesting the nature of change is also important. It was not possible to implement changes by modelling only. Comparison of relative measures of time and software size change within each application highlights how architectural differences affected maintain ability across change requests.

CONCLUSIONS: The use of open EHR model driven development can result in better software maintain ability. The degree to which open EHR affects software maintain ability depends on the extent and nature of domain knowledge involved in changes. Although we used relative measures for time and software size, confounding factors could not be totally excluded as a controlled study design was not feasible.

}, keywords = {Data Curation, electronic health records, Information Dissemination, Information Storage and Retrieval, Meaningful Use, Software, Software Design}, issn = {1872-8243}, doi = {10.1016/j.ijmedinf.2014.07.006}, author = {Atalag, Koray and Yang, Hong Yul and Tempero, Ewan and Warren, James R} } @article {1025, title = {Experience of using an open source clinical trials data management software system in Kenya.}, journal = {BMC Res Notes}, volume = {7}, year = {2014}, month = {2014}, pages = {845}, abstract = {

BACKGROUND: Clinical trials data management (CTDM) remains one of the many challenges in running state of the art trials in resource-poor settings since most trials do not allocate, or have available, sufficient resources for CTDM and because of poor internet connectivity. Open-source software like OpenClinica could be a solution in such scenarios.

FINDINGS: In 2007, the KEMRI-Wellcome Trust Research Programme (KWTRP) adopted OpenClinica (OC) community edition, an open-source software system and we share our experience and lessons learnt since its adoption. We have used OC in three different modes; direct remote data entry from sites through Global System for Mobile Communications (GSM) modems, a centralized data centre approach where all data from paper records were entered at a central location and an off-line approach where data entry was done from a copy of database hosted on a field-site server laptop, then data uploaded to a centralized server later. We have used OC in eleven trials/studies with a cumulative number of participants in excess of 6000. These include large and complex trials, with multiple sites recruiting in different regions of East Africa. In the process, we have developed substantial local capacity through hands-on training and mentorship, which we have now begun to share with other institutions in the region.

CONCLUSIONS: Our experience demonstrates that an open source data management system to manage trials{\textquoteright} data can be utilized to international industry standards in resource-poor countries.

}, issn = {1756-0500}, doi = {10.1186/1756-0500-7-845}, author = {Ngari, Moses M and Waithira, Naomi and Chilengi, Roma and Njuguna, Patricia and Lang, Trudie and Fegan, Greg} } @article {945, title = {ExpertEyes: Open-source, high-definition eyetracking.}, journal = {Behav Res Methods}, year = {2014}, month = {2014 Jun 17}, abstract = {

ExpertEyes is a low-cost, open-source package of hardware and software that is designed to provide portable high-definition eyetracking. The project involves several technological innovations, including portability, high-definition video recording, and multiplatform software support. It was designed for challenging recording environments, and all processing is done offline to allow for optimization of parameter estimation. The pupil and corneal reflection are estimated using a novel forward eye model that simultaneously fits both the pupil and the corneal reflection with full ellipses, addressing a common situation in which the corneal reflection sits at the edge of the pupil and therefore breaks the contour of the ellipse. The accuracy and precision of the system are comparable to or better than what is available in commercial eyetracking systems, with a typical accuracy of less than 0.4{\textdegree} and best accuracy below 0.3{\textdegree}, and with a typical precision (SD method) around 0.3{\textdegree} and best precision below 0.2{\textdegree}. Part of the success of the system comes from a high-resolution eye image. The high image quality results from uncasing common digital camcorders and recording directly to SD cards, which avoids the limitations of the analog NTSC format. The software is freely downloadable, and complete hardware plans are available, along with sources for custom parts.

}, issn = {1554-3528}, doi = {10.3758/s13428-014-0465-z}, author = {Parada, Francisco J and Wyatte, Dean and Yu, Chen and Akavipat, Ruj and Emerick, Brandi and Busey, Thomas} } @article {1051, title = {High dimensional biological data retrieval optimization with NoSQL technology.}, journal = {BMC Genomics}, volume = {15 Suppl 8}, year = {2014}, month = {2014}, pages = {S3}, abstract = {

BACKGROUND: High-throughput transcriptomic data generated by microarray experiments is the most abundant and frequently stored kind of data currently used in translational medicine studies. Although microarray data is supported in data warehouses such as tranSMART, when querying relational databases for hundreds of different patient gene expression records queries are slow due to poor performance. Non-relational data models, such as the key-value model implemented in NoSQL databases, hold promise to be more performant solutions. Our motivation is to improve the performance of the tranSMART data warehouse with a view to supporting Next Generation Sequencing data.

RESULTS: In this paper we introduce a new data model better suited for high-dimensional data storage and querying, optimized for database scalability and performance. We have designed a key-value pair data model to support faster queries over large-scale microarray data and implemented the model using HBase, an implementation of Google{\textquoteright}s BigTable storage system. An experimental performance comparison was carried out against the traditional relational data model implemented in both MySQL Cluster and MongoDB, using a large publicly available transcriptomic data set taken from NCBI GEO concerning Multiple Myeloma. Our new key-value data model implemented on HBase exhibits an average 5.24-fold increase in high-dimensional biological data query performance compared to the relational model implemented on MySQL Cluster, and an average 6.47-fold increase on query performance on MongoDB.

CONCLUSIONS: The performance evaluation found that the new key-value data model, in particular its implementation in HBase, outperforms the relational model currently implemented in tranSMART. We propose that NoSQL technology holds great promise for large-scale data management, in particular for high-dimensional biological data such as that demonstrated in the performance evaluation described in this paper. We aim to use this new data model as a basis for migrating tranSMART{\textquoteright}s implementation to a more scalable solution for Big Data.

}, keywords = {Database Management Systems, Databases, Genetic, High-Throughput Nucleotide Sequencing, Humans, Information Storage and Retrieval, Medical Informatics, Multiple Myeloma, Oligonucleotide Array Sequence Analysis, Transcriptome}, issn = {1471-2164}, doi = {10.1186/1471-2164-15-S8-S3}, author = {Wang, Shicai and Pandis, Ioannis and Wu, Chao and He, Sijin and Johnson, David and Emam, Ibrahim and Guitton, Florian and Guo, Yike} } @article {1003, title = {Innovative approaches to clinical data management in resource limited settings using open-source technologies.}, journal = {PLoS Negl Trop Dis}, volume = {8}, year = {2014}, month = {2014 Sep}, pages = {e3134}, issn = {1935-2735}, doi = {10.1371/journal.pntd.0003134}, author = {Omollo, Raymond and Ochieng, Michael and Mutinda, Brian and Omollo, Truphosa and Owiti, Rhoda and Okeyo, Seth and Wasunna, Monique and Edwards, Tansy} } @article {1019, title = {Strengthening district-based health reporting through the district health management information software system: the Ugandan experience.}, journal = {BMC Med Inform Decis Mak}, volume = {14}, year = {2014}, month = {2014}, pages = {40}, abstract = {

BACKGROUND: Untimely, incomplete and inaccurate data are common challenges in planning, monitoring and evaluation of health sector performance, and health service delivery in many sub-Saharan African settings. We document Uganda{\textquoteright}s experience in strengthening routine health data reporting through the roll-out of the District Health Management Information Software System version 2 (DHIS2).

METHODS: DHIS2 was adopted at the national level in January 2011. The system was initially piloted in 4 districts, before it was rolled out to all the 112 districts by July 2012. As part of the roll-out process, 35 training workshops targeting 972 users were conducted throughout the country. Those trained included Records Assistants (168, 17.3\%), District Health Officers (112, 11.5\%), Health Management Information System Focal Persons (HMIS-FPs) (112, 11.5\%), District Biostatisticians (107, 11\%) and other health workers (473, 48.7\%). To assess improvements in health reporting, we compared data on completeness and timeliness of outpatient and inpatient reporting for the period before (2011/12) and after (2012/13) the introduction of DHIS2. We reviewed data on the reporting of selected health service coverage indicators as a proxy for improved health reporting, and documented implementation challenges and lessons learned during the DHIS2 roll-out process.

RESULTS: Completeness of outpatient reporting increased from 36.3\% in 2011/12 to 85.3\% in 2012/13 while timeliness of outpatient reporting increased from 22.4\% to 77.6\%. Similarly, completeness of inpatient reporting increased from 20.6\% to 57.9\% while timeliness of inpatient reporting increased from 22.5\% to 75.6\%. There was increased reporting on selected health coverage indicators (e.g. the reporting of one-year old children who were immunized with three doses of pentavelent vaccine increased from 57\% in 2011/12 to 87\% in 2012/13). Implementation challenges included limited access to computers and internet (34\%), inadequate technical support (23\%) and limited worker force (18\%).

CONCLUSION: Implementation of DHIS2 resulted in improved timeliness and completeness in reporting of routine outpatient, inpatient and health service usage data from the district to the national level. Continued onsite support supervision and mentorship and additional system/infrastructure enhancements, including internet connectivity, are needed to further enhance the performance of DHIS2.

}, keywords = {Health Information Management, Health information systems, Health Services, Humans, Inpatients, Outpatients, Uganda}, issn = {1472-6947}, doi = {10.1186/1472-6947-14-40}, author = {Kiberu, Vincent Micheal and Matovu, Joseph K B and Makumbi, Fredrick and Kyozira, Carol and Mukooyo, Eddie and Wanyenze, Rhoda K} } @article {848, title = {A common type system for clinical natural language processing.}, journal = {J Biomed Semantics}, volume = {4}, year = {2013}, month = {2013}, pages = {1}, abstract = {

UNLABELLED:

BACKGROUND: One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowable data structures. Therefore, we aim to define a common type system for clinical NLP that enables interoperability between structured and unstructured data generated in different clinical settings.

RESULTS: We describe a common type system for clinical NLP that has an end target of deep semantics based on Clinical Element Models (CEMs), thus interoperating with structured data and accommodating diverse NLP approaches. The type system has been implemented in UIMA (Unstructured Information Management Architecture) and is fully functional in a popular open-source clinical NLP system, cTAKES (clinical Text Analysis and Knowledge Extraction System) versions 2.0 and later.

CONCLUSIONS: We have created a type system that targets deep semantics, thereby allowing for NLP systems to encapsulate knowledge from text and share it alongside heterogenous clinical data sources. Rather than surface semantics that are typically the end product of NLP algorithms, CEM-based semantics explicitly build in deep clinical semantics as the point of interoperability with more structured data types.

}, issn = {2041-1480}, doi = {10.1186/2041-1480-4-1}, author = {Wu, Stephen T and Kaggal, Vinod C and Dligach, Dmitriy and Masanz, James J and Chen, Pei and Becker, Lee and Chapman, Wendy W and Savova, Guergana K and Liu, Hongfang and Chute, Christopher G} } @inbook {1091, title = {Designing Sustainable Open Source Systems: The Cuban National Health Care Network and Portal (INFOMED)}, booktitle = {Grand Successes and Failures in IT. Public and Private Sectors}, series = {IFIP Advances in Information and Communication Technology}, volume = {402}, year = {2013}, pages = {451-466}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, keywords = {Cuba, INFOMED, national health care systems, open source software, qualitative research methods, virtual infrastructures}, isbn = {978-3-642-38861-3}, doi = {10.1007/978-3-642-38862-0_28}, url = {http://dx.doi.org/10.1007/978-3-642-38862-0_28}, author = {S{\'e}ror, Ann}, editor = {Dwivedi, YogeshK. and Henriksen, HelleZinner and Wastell, David and De{\textquoteright}, Rahul} } @article {855, title = {Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization.}, journal = {Interact J Med Res}, volume = {2}, year = {2013}, month = {2013}, pages = {e11}, abstract = {

BACKGROUND: The Strategic Health IT Advanced Research Projects (SHARP) program seeks to conquer well-understood challenges in medical informatics through breakthrough research. Two SHARP centers have found alignment in their methodological needs: (1) members of the National Center for Cognitive Informatics and Decision-making (NCCD) have developed knowledge bases to support problem-oriented summarizations of patient data, and (2) Substitutable Medical Apps, Reusable Technologies (SMART), which is a platform for reusable medical apps that can run on participating platforms connected to various electronic health records (EHR). Combining the work of these two centers will ensure wide dissemination of new methods for synthesized views of patient data. Informatics for Integrating Biology and the Bedside (i2b2) is an NIH-funded clinical research data repository platform in use at over 100 sites worldwide. By also working with a co-occurring initiative to SMART-enabling i2b2, we can confidently write one app that can be used extremely broadly.

OBJECTIVE: Our goal was to facilitate development of intuitive, problem-oriented views of the patient record using NCCD knowledge bases that would run in any EHR. To do this, we developed a collaboration between the two SHARPs and an NIH center, i2b2.

METHODS: First, we implemented collaborative tools to connect researchers at three institutions. Next, we developed a patient summarization app using the SMART platform and a previously validated NCCD problem-medication linkage knowledge base derived from the National Drug File-Reference Terminology (NDF-RT). Finally, to SMART-enable i2b2, we implemented two new Web service "cells" that expose the SMART application programming interface (API), and we made changes to the Web interface of i2b2 to host a "carousel" of SMART apps.

RESULTS: We deployed our SMART-based, NDF-RT-derived patient summarization app in this SMART-i2b2 container. It displays a problem-oriented view of medications and presents a line-graph display of laboratory results.

CONCLUSIONS: This summarization app can be run in any EHR environment that either supports SMART or runs SMART-enabled i2b2. This i2b2 "clinical bridge" demonstrates a pathway for reusable app development that does not require EHR vendors to immediately adopt the SMART API. Apps can be developed in SMART and run by clinicians in the i2b2 repository, reusing clinical data extracted from EHRs. This may encourage the adoption of SMART by supporting SMART app development until EHRs adopt the platform. It also allows a new variety of clinical SMART apps, fueled by the broad aggregation of data types available in research repositories. The app (including its knowledge base) and SMART-i2b2 are open-source and freely available for download.

}, issn = {1929-073X}, doi = {10.2196/ijmr.2454}, author = {Klann, Jeffrey G and McCoy, Allison B and Wright, Adam and Wattanasin, Nich and Sittig, Dean F and Murphy, Shawn N} } @article {852, title = {The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.}, journal = {Int J Comput Assist Radiol Surg}, year = {2013}, month = {2013 Apr 16}, abstract = {

PURPOSE: ~~~The Medical Imaging Interaction Toolkit (MITK) has been available as open-source software for almost 10 years now. In this period the requirements of software systems in the medical image processing domain have become increasingly complex. The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control. METHODS: ~~~MITK provides modularization and extensibility on different levels. In addition to the original toolkit, a module system, micro services for small, system-wide features, a service-oriented architecture based on the Open Services Gateway initiative (OSGi) standard, and an extensible and configurable application framework allow MITK to be used, extended and deployed as needed. A refined software process was implemented to deliver high-quality software, ease the fulfillment of regulatory requirements, and enable teamwork in mixed-competence teams. RESULTS: ~~~MITK has been applied by a worldwide community and integrated into a variety of solutions, either at the toolkit level or as an application framework with custom extensions. The MITK Workbench has been released as a highly extensible and customizable end-user application. Optional support for tool tracking, image-guided therapy, diffusion imaging as well as various external packages (e.g. CTK, DCMTK, OpenCV, SOFA, Python) is available. MITK has also been used in several FDA/CE-certified applications, which demonstrates the high-quality software and rigorous development process. CONCLUSIONS: ~~~MITK provides a versatile platform with a high degree of modularization and interoperability and is well suited to meet the challenging tasks of today{\textquoteright}s and tomorrow{\textquoteright}s clinically motivated research.

}, issn = {1861-6429}, doi = {10.1007/s11548-013-0840-8}, author = {Nolden, Marco and Zelzer, Sascha and Seitel, Alexander and Wald, Diana and M{\"u}ller, Michael and Franz, Alfred M and Maleike, Daniel and Fangerau, Markus and Baumhauer, Matthias and Maier-Hein, Lena and Maier-Hein, Klaus H and Meinzer, Hans -Peter and Wolf, Ivo} } @article {862, title = {MRIdb: Medical Image Management for Biobank Research.}, journal = {J Digit Imaging}, year = {2013}, month = {2013 Apr 26}, abstract = {

Clinical picture archiving and communications systems provide convenient, efficient access to digital medical images from multiple modalities but can prove challenging to deploy, configure and use. MRIdb is a self-contained image database, particularly suited to the storage and management of magnetic resonance imaging data sets for population phenotyping. It integrates a mature image archival system with an intuitive web-based user interface that provides visualisation and export functionality. In addition, utilities for auditing, data migration and system monitoring are included in a virtual machine image that is easily deployed with minimal configuration. The result is a freely available turnkey solution, designed to support epidemiological and imaging genetics research. It allows the management of patient data sets in a secure, scalable manner without requiring the installation of any bespoke software on end users{\textquoteright} workstations. MRIdb is an open-source software, available for download at http://www3.imperial.ac.uk/bioinfsupport/resources/software/mridb .

}, issn = {1618-727X}, doi = {10.1007/s10278-013-9604-9}, author = {Woodbridge, Mark and Fagiolo, Gianlorenzo and O{\textquoteright}Regan, Declan P} } @article {1021, title = {ARDEN2BYTECODE: a one-pass Arden Syntax compiler for service-oriented decision support systems based on the OSGi platform.}, journal = {Comput Methods Programs Biomed}, volume = {106}, year = {2012}, month = {2012 May}, pages = {114-25}, abstract = {

Patient empowerment might be one key to reduce the pressure on health care systems challenged by the expected demographic changes. Knowledge based systems can, in combination with automated sensor measurements, improve the patients{\textquoteright} ability to review their state of health and make informed decisions. The Arden Syntax as a standardized language to represent medical knowledge can be used to express the corresponding decision rules. In this paper we introduce ARDEN2BYTECODE, a newly developed open source compiler for the Arden Syntax. ARDEN2BYTECODE runs on Java Virtual Machines (JVM) and translates Arden Syntax directly to Java Bytecode (JBC) executable on JVMs. ARDEN2BYTECODE easily integrates into service oriented architectures, like the Open Services Gateway Initiative (OSGi) platform. Apart from an evaluation of compilation performance and execution times, ARDEN2BYTECODE was integrated into an existing knowledge supported exercise training system and recorded training sessions have been used to check the implementation.

}, keywords = {Decision Support Systems, Management, Programming Languages}, issn = {1872-7565}, doi = {10.1016/j.cmpb.2011.11.003}, author = {Gietzelt, Matthias and Goltz, Ursula and Grunwald, Daniel and Lochau, Malte and Marschollek, Michael and Song, Bianying and Wolf, Klaus-Hendrik} } @article {795, title = {BioImageXD: an open, general-purpose and high-throughput image-processing platform.}, journal = {Nat Methods}, volume = {9}, year = {2012}, month = {2012}, pages = {683-9}, abstract = {BioImageXD puts open-source computer science tools for three-dimensional visualization and analysis into the hands of all researchers, through a user-friendly graphical interface tuned to the needs of biologists. BioImageXD has no restrictive licenses or undisclosed algorithms and enables publication of precise, reproducible and modifiable workflows. It allows simple construction of processing pipelines and should enable biologists to perform challenging analyses of complex processes. We demonstrate its performance in a study of integrin clustering in response to selected inhibitors.}, issn = {1548-7105}, doi = {10.1038/nmeth.2047}, author = {Kankaanp{\"a}{\"a}, Pasi and Paavolainen, Lassi and Tiitta, Silja and Karjalainen, Mikko and P{\"a}iv{\"a}rinne, Joacim and Nieminen, Jonna and Marjom{\"a}ki, Varpu and Heino, Jyrki and White, Daniel J} } @article {776, title = {Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: The SHARPn project.}, journal = {J Biomed Inform}, year = {2012}, month = {2012 Feb 4}, abstract = {The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) will enable the use of the electronic health record (EHR) for secondary purposes, such as care process and outcomes improvement, biomedical research and epidemiologic monitoring of the nation{\textquoteright}s health. One of the primary informatics problem areas in this endeavor is the standardization of disparate health data from the nation{\textquoteright}s many health care organizations and providers. The SHARPn team is developing open source services and components to support the ubiquitous exchange, sharing and reuse or {\textquoteright}liquidity{\textquoteright} of operational clinical data stored in electronic health records. One year into the design and development of the SHARPn framework, we demonstrated end to end data flow and a prototype SHARPn platform, using thousands of patient electronic records sourced from two large healthcare organizations: Mayo Clinic and Intermountain Healthcare. The platform was deployed to (1) receive source EHR data in several formats, (2) generate structured data from EHR narrative text, and (3) normalize the EHR data using common detailed clinical models and Consolidated Health Informatics standard terminologies, which were (4) accessed by a phenotyping service using normalized data specifications. The architecture of this prototype SHARPn platform is presented. The EHR data throughput demonstration showed success in normalizing native EHR data, both structured and narrative, from two independent organizations and EHR systems. Based on the demonstration, observed challenges for standardization of EHR data for interoperable secondary use are discussed.}, issn = {1532-0480}, doi = {10.1016/j.jbi.2012.01.009}, author = {Rea, Susan and Pathak, Jyotishman and Savova, Guergana and Oniki, Thomas A and Westberg, Les and Beebe, Calvin E and Tao, Cui and Parker, Craig G and Haug, Peter J and Huff, Stanley M and Chute, Christopher G} } @article {797, title = {Deformable three-dimensional model architecture for interactive augmented reality in minimally invasive surgery.}, journal = {Surg Endosc}, year = {2012}, month = {2012 Jun 27}, abstract = {BACKGROUND: Surgical procedures have undergone considerable advancement during the last few decades. More recently, the availability of some imaging methods intraoperatively has added a new dimension to minimally invasive techniques. Augmented reality in surgery has been a topic of intense interest and research. METHODS: Augmented reality involves usage of computer vision algorithms on video from endoscopic cameras or cameras mounted in the operating room to provide the surgeon additional information that he or she otherwise would have to recognize intuitively. One of the techniques combines a virtual preoperative model of the patient with the endoscope camera using natural or artificial landmarks to provide an augmented reality view in the operating room. The authors{\textquoteright} approach is to provide this with the least number of changes to the operating room. Software architecture is presented to provide interactive adjustment in the registration of a three-dimensional (3D) model and endoscope video. RESULTS: Augmented reality including adrenalectomy, ureteropelvic junction obstruction, and retrocaval ureter and pancreas was used to perform 12 surgeries. The general feedback from the surgeons has been very positive not only in terms of deciding the positions for inserting points but also in knowing the least change in anatomy. CONCLUSIONS: The approach involves providing a deformable 3D model architecture and its application to the operating room. A 3D model with a deformable structure is needed to show the shape change of soft tissue during the surgery. The software architecture to provide interactive adjustment in registration of the 3D model and endoscope video with adjustability of every 3D model is presented.}, issn = {1432-2218}, doi = {10.1007/s00464-012-2395-0}, author = {Vemuri, Anant S and Wu, Jungle Chi-Hsiang and Liu, Kai-Che and Wu, Hurng-Sheng} } @article {1049, title = {Designing and Implementing an Innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda.}, journal = {Pan Afr Med J}, volume = {13}, year = {2012}, month = {2012}, pages = {31}, abstract = {

INTRODUCTION: With the continuous growth of mobile network coverage and unprecedented penetration of mobile devices in the developing world, several mHealth initiatives are being implemented in developing countries. This paper aims to describe requirements for designing and implementing a mobile phone-based communication system aiming at monitoring pregnancy and reducing bottlenecks in communication associated with maternal and newborn deaths; and document challenges and lessons learned.

METHODS: An SMS-based system was developed to improve maternal and child health (MCH) using RapidSMS({\textregistered}), a free and open-sourced software development framework. To achieve the expected results, the RapidSMS-MCH system was customized to allow interactive communication between a community health worker (CHW)following mother-infant pairs in their community, a national centralized database, the health facility and in case of an emergency alert, the ambulance driver. The RapidSMS-MCH system was piloted in Musanze district, Nothern province of Rwanda over a 12-month period.

RESULTS: A total of 432 CHW were trained and equipped with mobile phones. A total of 35,734 SMS were sent by 432 CHW from May 2010 to April 2011. A total of 11,502 pregnancies were monitored. A total of 362 SMS alerts for urgent and life threatening events were registered. We registered a 27\% increase in facility based delivery from 72\% twelve months before to 92\% at the end of the twelve months pilot phase. Major challenges were telephone maintenance and replacement. Disctrict heath team capacity to manage and supervise the system was strengthened by the end of pilot phase. Highly committed CHWs and effective coordination by the District health team were critical enablers.

CONCLUSION: We successully designed and implemented a mobile phone SMS-based system to track pregnancy and maternal and child outcomes in limited resources setting. Implementation of mobile-phone systems at community level could contribute to improving emergency obstetric and neonatal care, yet it requires a well-organized community health structure in limited resource settings.

}, keywords = {Cell Phones, Child Mortality, Child, Preschool, Emergency Medical Services, Female, Fetal Death, Health Plan Implementation, Humans, Infant, Newborn, Maternal Death, Maternal Health Services, Maternal-Child Health Centers, Monitoring, Physiologic, Pregnancy, Prenatal Care, Program Development, Rwanda, Telemedicine}, issn = {1937-8688}, author = {Ngabo, Fidele and Nguimfack, Judith and Nwaigwe, Friday and Mugeni, Catherine and Muhoza, Denis and Wilson, David R and Kalach, John and Gakuba, Richard and Karema, Corrine and Binagwaho, Agnes} } @article {816, title = {Developing open source, self-contained disease surveillance software applications for use in resource-limited settings.}, journal = {BMC Med Inform Decis Mak}, volume = {12}, year = {2012}, month = {2012}, pages = {99}, abstract = {UNLABELLED: ABSTRACT: BACKGROUND: Emerging public health threats often originate in resource-limited countries. In recognition of this fact, the World Health Organization issued revised International Health Regulations in 2005, which call for significantly increased reporting and response capabilities for all signatory nations. Electronic biosurveillance systems can improve the timeliness of public health data collection, aid in the early detection of and response to disease outbreaks, and enhance situational awareness. METHODS: As components of its Suite for Automated Global bioSurveillance (SAGES) program, The Johns Hopkins University Applied Physics Laboratory developed two open-source, electronic biosurveillance systems for use in resource-limited settings. OpenESSENCE provides web-based data entry, analysis, and reporting. ESSENCE Desktop Edition provides similar capabilities for settings without internet access. Both systems may be configured to collect data using locally available cell phone technologies. RESULTS: ESSENCE Desktop Edition has been deployed for two years in the Republic of the Philippines. Local health clinics have rapidly adopted the new technology to provide daily reporting, thus eliminating the two-to-three week data lag of the previous paper-based system. CONCLUSIONS: OpenESSENCE and ESSENCE Desktop Edition are two open-source software products with the capability of significantly improving disease surveillance in a wide range of resource-limited settings. These products, and other emerging surveillance technologies, can assist resource-limited countries compliance with the revised International Health Regulations.}, issn = {1472-6947}, doi = {10.1186/1472-6947-12-99}, author = {Campbell, Timothy C and Hodanics, Charles J and Babin, Steven M and Poku, Adjoa M and Wojcik, Richard A and Skora, Joseph F and Coberly, Jacqueline S and Mistry, Zarna S and Lewis, Sheri H} } @inbook {1080, title = {Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations}, booktitle = {Wireless Mobile Communication and Healthcare}, series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, volume = {83}, year = {2012}, pages = {158-164}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, keywords = {diabetic foot ulcers, m-health, Telemedicine}, isbn = {978-3-642-29733-5}, doi = {10.1007/978-3-642-29734-2_22}, url = {http://dx.doi.org/10.1007/978-3-642-29734-2_22}, author = {Dafoulas, GeorgeE. and Koutsias, Stylianos and Behar, Joachim and Osorio, Juan and Malley, Brian and Gruentzig, Alexander and Celi, LeoAnthony and Angelidis, Pantelis and Theodorou, Kyriaki and Giannoukas, Athanasios}, editor = {Nikita, KonstantinaS. and Lin, JamesC. and Fotiadis, DimitriosI. and Arredondo Waldmeyer, Maria-Teresa} } @inbook {851, title = {Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations}, booktitle = {Wireless Mobile Communication and Healthcare}, series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, volume = {83}, year = {2012}, pages = {158-164}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, abstract = {Diabetes is one of the foremost causes of death in many countries and a leading cause of blindness, renal failure, and non-traumatic amputation. Therefore, diabetic foot ulceration and amputation cause extensive burden on individuals and health care systems in developed and developing countries. Due to the multi-disciplinary requirements for the treatment of diabetic foot ulceration, telemedicine has been introduced to facilitate the access of the patients to specialized health professionals. In this paper the development of an open source mobile health platform is presented, able to support diagnostic algorithms, with the use of a smartphone.}, keywords = {diabetic foot ulcers, m-health, Telemedicine}, isbn = {978-3-642-29733-5}, doi = {10.1007/978-3-642-29734-2_22}, url = {http://dx.doi.org/10.1007/978-3-642-29734-2_22}, author = {Dafoulas, GeorgeE. and Koutsias, Stylianos and Behar, Joachim and Osorio, Juan and Malley, Brian and Gruentzig, Alexander and Celi, LeoAnthony and Angelidis, Pantelis and Theodorou, Kyriaki and Giannoukas, Athanasios}, editor = {Nikita, KonstantinaS. and Lin, JamesC. and Fotiadis, DimitriosI. and Arredondo Waldmeyer, Maria-Teresa} } @conference {811, title = {Implementing a Personal Health Record Cloud Platform Using Ciphertext-Policy Attribute-Based Encryption}, booktitle = {Intelligent Networking and Collaborative Systems (INCoS), 2012 4th International Conference on}, year = {2012}, month = {sept.}, abstract = {Work on designing and implementing a patient-centric, personal health record cloud platform based on open-source Indivo X system. We adopt cipher text-policy attribute-based encryption to provide privacy protection and fine-grained access control.}, doi = {10.1109/iNCoS.2012.65}, author = {Wang, Changji and Liu, Xuan and Li, Wentao} } @article {801, title = {Integration of the Image-Guided Surgery Toolkit (IGSTK) into the Medical Imaging Interaction Toolkit (MITK).}, journal = {J Digit Imaging}, year = {2012}, month = {2012 Apr 26}, abstract = {The development cycle of an image-guided surgery navigation system is too long to meet current clinical needs. This paper presents an integrated system developed by the integration of two open-source software (IGSTK and MITK) to shorten the development cycle of the image-guided surgery navigation system and save human resources simultaneously. An image-guided surgery navigation system was established by connecting the two aforementioned open-source software libraries. It used the Medical Imaging Interaction Toolkit (MITK) as a framework providing image processing tools for the image-guided surgery navigation system of medical imaging software with a high degree of interaction and used the Image-Guided Surgery Toolkit (IGSTK) as a library that provided the basic components of the system for location, tracking, and registration. The electromagnetic tracking device was used to measure the real-time position of surgical tools and fiducials attached to the patient{\textquoteright}s anatomy. IGSTK was integrated into MITK; at the same time, the compatibility and the stability of this system were emphasized. Experiments showed that an integrated system of the image-guided surgery navigation system could be developed in 2~months. The integration of IGSTK into MITK is feasible. Several techniques for 3D reconstruction, geometric analysis, mesh generation, and surface data analysis for medical image analysis of MITK can connect with the techniques for location, tracking, and registration of IGSTK. This integration of advanced modalities can decrease software development time and emphasize the precision, safety, and robustness of the image-guided surgery navigation system.}, issn = {1618-727X}, doi = {10.1007/s10278-012-9477-3}, author = {Lu, Tong and Liang, Ping and Wu, Wen-Bo and Xue, Jin and Lei, Cheng-Long and Li, Yin-Yan and Sun, Yun-Na and Liu, Fang-Yi} } @article {908, title = {The National Alliance for Medical Image Computing, a roadmap initiative to build a free and open source software infrastructure for translational research in medical image analysis}, journal = {Journal of the American Medical Informatics Association}, volume = {19}, year = {2012}, pages = {176{\textendash}180}, abstract = {The National Alliance for Medical Image Computing (NA-MIC), is a multi-institutional, interdisciplinary community of researchers, who share the recognition that modern health care demands improved technologies to ease suffering and prolong productive life. Organized under the National Centers for Biomedical Computing 7 years ago, the mission of NA-MIC is to implement a robust and flexible open-source infrastructure for developing and applying advanced imaging technologies across a range of important biomedical research disciplines. A measure of its success, NA-MIC is now applying this technology to diseases that have immense impact on the duration and quality of life: cancer, heart disease, trauma, and degenerative genetic diseases. The targets of this technology range from group comparisons to subject-specific analysis.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84857161947\&partnerID=40\&md5=c7d7cbab9304114a219812cb7c5091ee}, author = {Kapur, T.a and Pieper, S.b and Whitaker, R.c and Aylward, S.d and Jakab, M.a and Schroeder, W.d and Kikinis, R.a} } @conference {774, title = {Research and implementation of Electronic Medical Records Editing System based on CDA}, booktitle = {Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on}, year = {2012}, month = {april}, abstract = {It is difficult to exchange information between heterogeneous Hospital Information Systems (HIS). It becomes the obstacle of regional medical system establishment. The coming forth of HL7 (Health Level 7) CDA (Clinical Document Architecture) standard provides the technical basic conditions. This paper describes CDA standards and CDA document structure. Through a complete analysis of Electronic Medical Record (EMR), the model of Electronic Medical Records Editing Subsystem is given. Based on this model, functional modules of Electronic Medical Records Editing Subsystem are designed and implemented. Through Electronic Medical Records Editing Subsystem, clinical documents can effectively produce, parse, validate and view. It provides a technical support for exchanges of medical and health information.}, keywords = {CDA document structure, CDA standards, clinical document architecture, document handling, electronic medical records editing system, EMR, health level 7, HIS, HL7, hospital information systems, information exchange, medical information systems, regional medical system establishment}, doi = {10.1109/CECNet.2012.6201451}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=\&arnumber=6201451\&contentType=Conference+Publications\&queryText\%3DResearch+and+implementation+of+Electronic+Medical+Records+Editing+System+based+on+CDA}, author = {Lu Xiaoqi and Yu Ning and Gu Yu and Jia Weitao} } @article {1050, title = {S2DIA: a diagnostic system for Diabetes mellitus using SANA platform.}, journal = {Conf Proc IEEE Eng Med Biol Soc}, volume = {2012}, year = {2012}, month = {2012}, pages = {6078-81}, abstract = {

Currently, Diabetes is a very common disease around the world, and with an increase in sedentary lifestyles, obesity and an aging population the number of people with Diabetes worldwide will increase by more than 50\%. In this context, the MIT (Massachusetts Institute of Technology) developed the SANA platform, which brings the benefits of information technology to the field of healthcare. It offers healthcare delivery in remote areas, improves patient access to medical specialists for faster, higher quality, and more cost effective diagnosis and intervention. For these reasons, we developed a system for diagnosis of Diabetes using the SANA platform, called S2DIA. It is the first step towards knowing the risks for type 2 Diabetes, and it will be evaluated, especially, in remote/poor areas of Brazil.

}, keywords = {Diabetes Mellitus, Type 2, Diagnosis, Computer-Assisted, Humans, Risk Factors}, issn = {1557-170X}, doi = {10.1109/EMBC.2012.6347380}, author = {Costa, Clayton M and Gondim, Dikson D and Gondim, Dibson D and Soares, Heliana B and Ribeiro, Anna G C D and Silva, Ikaro and Winkler, Erick and Celi, Leo and Guerreiro, Ana M G and Leite, Cic{\'\i}lia R M} } @article {790, title = {Standardized volumetric 3D-analysis of SPECT/CT imaging in orthopaedics: overcoming the limitations of qualitative 2D analysis.}, journal = {BMC Med Imaging}, volume = {12}, year = {2012}, month = {2012}, pages = {5}, abstract = {UNLABELLED: ABSTRACT: BACKGROUND: SPECT/CT combines high resolution anatomical 3D computerized tomography (CT) and single photon emission computerized tomography (SPECT) as functional imaging, which provides 3D information about biological processes into a single imaging modality. The clinical utility of SPECT/CT imaging has been recognized in a variety of medical fields and most recently in orthopaedics; however, clinical adoption has been limited due to shortcomings of analytical tools available. Specifically, SPECT analyses are mainly qualitative due to variation in overall metabolic uptake among patients. Furthermore, most analyses are done in 2D, although rich 3D data are available. Consequently, it is difficult to quantitatively compare the position, size, and intensity of SPECT uptake regions among patients, and therefore difficult to draw meaningful clinical conclusions. METHODS: We propose a method for normalizing orthopaedic SPECT/CT data that enables standardised 3D volumetric quantitative measurements and comparison among patients. Our method is based on 3D localisation using clinically relevant anatomical landmarks and frames of reference, along with intensity value normalisation using clinically relevant reference regions. Using the normalised data, we describe a thresholding technique to distinguish clinically relevant hot spots from background activity. RESULTS: Using an exemplar comparison of two patients, we demonstrate how the normalised, 3D-rendered data can provide a richer source of clinical information and allow quantitative comparison of SPECT/CT measurements across patients. Specifically, we demonstrate how non-normalized SPECT/CT analysis can lead to different clinical conclusions than the normalized SPECT/CT analysis, and that normalized quantitative analysis can be a more accurate indicator of pathology. CONCLUSIONS: Conventional orthopaedic frames of reference, 3D volumetric data analysis and thresholding are used to distinguish clinically relevant hot spots from background activity. Our goal is to facilitate a standardised approach to quantitative data collection and comparison of clinical studies using SPECT/CT, enabling more widespread clinical use of this powerful imaging tool.}, issn = {1471-2342}, doi = {10.1186/1471-2342-12-5}, author = {Hirschmann, Michael T and Wagner, Christopher R and Rasch, Helmut and Henckel, Johann} } @inbook {786, title = {VURTIGO: Visualization Platform for Real-Time, MRI-Guided Cardiac Electroanatomic Mapping}, booktitle = {Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges}, series = {Lecture Notes in Computer Science}, volume = {7085}, year = {2012}, pages = {244-253}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {Guidance of electrophysiological (EP) procedures by magnetic resonance imaging (MRI) has significant advantages over x-ray fluoroscopy. Display of electroanatomic mapping (EAM) during an intervention fused with a prior MR volume and DE-MRI derived tissue classification should improve the accuracy of cardiac resynchronization therapy (CRT) for ventricular arrhythmias. Improved accuracy in the spatial localization of recorded EP points will produce an EAM to constrain and customize patient-specific cardiac electroanatomic models being developed for understanding the patterns of arrhythmogenic slow conduction zones causing reentry circuits and treatment planning. The Vurtigo software presented here is a four dimensional (3D+time) real-time visualization application for guiding interventions capable of displaying prior volumes, real-time MRI scan planes, EAM (voltage or activation times), segmented models, and tracked catheters. This paper will describe the architecture and features of Vurtigo followed by the application example of guiding percutaneous cardiac electroanatomic mapping in porcine models.}, isbn = {978-3-642-28325-3}, url = {http://dx.doi.org/10.1007/978-3-642-28326-0_25}, author = {Radau, Perry and Pintilie, Stefan and Flor, Roey and Biswas, Labonny and Oduneye, Samuel and Ramanan, Venkat and Anderson, Kevan and Wright, Graham}, editor = {Camara, Oscar and Konukoglu, Ender and Pop, Mihaela and Rhode, Kawal and Sermesant, Maxime and Young, Alistair} } @article {810, title = {Arden2ByteCode: A one-pass Arden Syntax compiler for service-oriented decision support systems based on the OSGi platform.}, journal = {Comput Methods Programs Biomed}, year = {2011}, doi = {10.1016/j.cmpb.2011.11.003}, url = {http://dx.doi.org/10.1016/j.cmpb.2011.11.003} note = {Epub ahead of print}, author = {Gietzelt, Matthias and Goltz, Ursula and Grunwald, Daniel and Lochau, Malte and Marschollek, Michael and Song, Bianying and Wolf, Klaus-Hendrik} } @article {869, title = {DDN: a caBIG{\textregistered} analytical tool for differential network analysis.}, journal = {Bioinformatics}, volume = {27}, year = {2011}, month = {2011 Apr 1}, pages = {1036-8}, abstract = {

UNLABELLED: Differential dependency network (DDN) is a caBIG{\textregistered} (cancer Biomedical Informatics Grid) analytical tool for detecting and visualizing statistically significant topological changes in transcriptional networks representing two biological conditions. Developed under caBIG{\textregistered}{\textquoteright}s In Silico Research Centers of Excellence (ISRCE) Program, DDN enables differential network analysis and provides an alternative way for defining network biomarkers predictive of phenotypes. DDN also serves as a useful systems biology tool for users across biomedical research communities to infer how genetic, epigenetic or environment variables may affect biological networks and clinical phenotypes. Besides the standalone Java application, we have also developed a Cytoscape plug-in, CytoDDN, to integrate network analysis and visualization seamlessly.

AVAILABILITY: The Java and MATLAB source code can be downloaded at the authors{\textquoteright} web site http://www.cbil.ece.vt.edu/software.htm.

}, keywords = {Animals, Computational Biology, Epigenesis, Genetic, Female, Gene Regulatory Networks, Mammary Glands, Animal, Rats, Software, Systems Biology}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btr052}, author = {Zhang, Bai and Tian, Ye and Jin, Lu and Li, Huai and Shih, Ie-Ming and Madhavan, Subha and Clarke, Robert and Hoffman, Eric P and Xuan, Jianhua and Hilakivi-Clarke, Leena and Wang, Yue} } @conference {Helms:2011:EAC:1987993.1988006, title = {Evaluating access control of open source electronic health record systems}, booktitle = {Proceeding of the 3rd workshop on Software engineering in health care}, series = {SEHC {\textquoteright}11}, year = {2011}, pages = {63{\textendash}70}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, abstract = {Incentives and penalties for healthcare providers as laid out in the American Recovery and Reinvestment Act of 2009 have caused tremendous growth in the development and installation of electronic health record (EHR) systems in the US. For the benefit of protecting patient privacy, regulations and certification criteria related to EHR systems stipulate the use of access control of protected health information. The goal of this research is to guide development teams, regulators, and certification bodies by assessing the state of the practice in EHR access control. In this paper, we present a compilation of 25 criteria relative to access control in EHR systems found in the Health Insurance Portability and Accountability Act (HIPAA) regulation, meaningful use certification criteria, best practices embodied in the National Institute for Standards and Technology (NIST) role-based access control standard, and other best practices found in the literature. We then examine the state of the practice in access control by evaluating four open source EHR systems using these 25 evaluation criteria. Our research indicates that the NIST Meaningful Use criteria provide HIPAA compliance, but none of the regulatory and certification criteria address the implementation standards, and best practices related to access control. Additionally, our results indicate that open source EHR system designers are not implementing robust access control mechanisms for the adequate protection of patient data.}, keywords = {access control, electronic health records, health it, healthcare, privacy, role-based access control}, isbn = {978-1-4503-0585-3}, doi = {http://doi.acm.org/10.1145/1987993.1988006}, author = {Helms, Eric and Williams, Laurie} } @article {867, title = {Impact of caBIG on the European cancer community.}, journal = {Ecancermedicalscience}, volume = {5}, year = {2011}, month = {2011}, pages = {225}, abstract = {

The cancer Biomedical Informatics Grid (caBIG) was launched in 2003 by the US National Cancer Institute with the aim of connecting research teams through the use of shared infrastructure and software to collect, analyse and share data. It was an ambitious project, and the issue it aimed to address was huge and far-reaching. With such developments as the mapping of the human genome and the advancement of new technologies for the analysis of genes and proteins, cancer researchers have never produced so much complex data, nor have they understood so much about cancer on a molecular level. This new {\textquoteright}molecular understanding{\textquoteright} of cancer, according to the caBIG 2007 {\textquoteright}Pilot Report{\textquoteright}[1], leads to molecular or {\textquoteright}personalised{\textquoteright} medicine being the way forward in cancer research and treatment, and connects basic research to clinical care in an unprecedented way. But the former {\textquoteright}silo-like{\textquoteright} nature of research does not lend itself to this brave new world of molecular medicine-individual labs and institutes working in isolation, "in effect, as cottage industries, each collecting and interpreting data using a unique language of their own"[2] will not advance cancer research as it should be advanced. The solution proposed by the NCI in caBIG was to produce an integrated informatics grid ({\textquoteright}caGrid{\textquoteright}) to incorporate open source, open access tools to collect, analyse and share data, enabling everyone to use the same methods and language for these tasks.caBIG is primarily a US-based endeavour, and though the tools are openly available for users worldwide, it is in US NCI-funded cancer centres that they have been actively introduced and promoted with the eventual hope, according to the pilot report, of being able to do the same worldwide. caBIG also has a collaboration in place with the UK organisation NCRI to exchange technologies and research data. The European Association for Cancer Research, a member association for cancer researchers, conducted an online survey in January 2011 to identify the penetration of the ambitious caBIG project into European laboratories. The survey was sent to 6396 researchers based in Europe, with 764 respondents, a total response rate of 11.94\%.

}, issn = {1754-6605}, doi = {10.3332/ecancer.2011.225}, author = {Warden, R} } @article {594, title = {Implementation of the Zambia electronic perinatal record system for comprehensive prenatal and delivery care.}, journal = {International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics}, volume = {113}, year = {2011}, month = {2011 May}, pages = {131-6}, abstract = {OBJECTIVE: To characterize prenatal and delivery care in an urban African setting. METHODS: The Zambia Electronic Perinatal Record System (ZEPRS) was implemented to record demographic characteristics, past medical and obstetric history, prenatal care, and delivery and newborn care for pregnant women across 25 facilities in the Lusaka public health sector. RESULTS: From June 1, 2007, to January 31, 2010, 115552 pregnant women had prenatal and delivery information recorded in ZEPRS. Median gestation age at first prenatal visit was 23weeks (interquartile range [IQR] 19-26). Syphilis screening was documented in 95663 (83\%) pregnancies: 2449 (2.6\%) women tested positive, of whom 1589 (64.9\%) were treated appropriately. 111108 (96\%) women agreed to HIV testing, of whom 22\% were diagnosed with HIV. Overall, 112813 (98\%) of recorded pregnancies resulted in a live birth, and 2739 (2\%) in a stillbirth. The median gestational age was 38weeks (IQR 35-40) at delivery; the median birth weight of newborns was 3000g (IQR 2700-3300g). CONCLUSION: The results demonstrate the feasibility of using a comprehensive electronic medical record in an urban African setting, and highlight its important role in ongoing efforts to improve clinical care.}, issn = {1879-3479}, author = {Chi, Benjamin H and Vwalika, Bellington and Killam, William P and Wamalume, Chibesa and Giganti, Mark J and Mbewe, Reuben and Stringer, Elizabeth M and Chintu, Namwinga T and Putta, Nande B and Liu, Katherine C and Chibwesha, Carla J and Rouse, Dwight J and Stringer, Jeffrey S A} } @article {info:doi/10.2196/jmir.1521, title = {Open Source, Open Standards, and Health Care Information Systems}, journal = {J Med Internet Res}, volume = {13}, number = {1}, year = {2011}, month = {Feb}, pages = {e24}, keywords = {Health Care Information Systems}, doi = {10.2196/jmir.1521}, url = {http://www.jmir.org/2011/1/e24/}, author = {Reynolds, J. Carl and Wyatt, C. Jeremy} } @article {902, title = {The rise of open-source electronic health records}, journal = {The Lancet}, volume = {377}, year = {2011}, pages = {1641{\textendash}1642}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79955885166\&partnerID=40\&md5=f959756cb7de6e24377a57a4e54117b0}, author = {Webster, P C} } @article {1082, title = {The rise of open-source electronic health records}, journal = {The LancetThe Lancet}, volume = {377}, year = {2011}, pages = {1641 - 1642}, isbn = {0140-6736}, url = {http://dx.doi.org/10.1016/S0140-6736(11)60659-4}, author = {Webster, Paul C} } @article {640, title = {Towards Open Collaborative Health Informatics - The Role of Free/Libre Open Source Principles. Contribution of the IMIA Open Source Health Informatics Working Group.}, journal = {Yearbook of medical informatics}, volume = {6}, year = {2011}, month = {2011}, pages = {63-72}, abstract = {OBJECTIVES: : To analyze the contribution of Free/Libre Open Source Software in health care (FLOSS-HC) and to give perspectives for future developments. METHODS: The paper summarizes FLOSS-related trends in health care as anticipated by members of the IMIA Open Source Working Group. Data were obtained through literature review and personal experience and observations of the authors in the last two decades. A status quo is given by a frequency analysis of the database of Medfloss.org, one of the world{\textquoteright}s largest platforms dedicated to FLOSS-HC. The authors discuss current problems in the field of health care and finally give a prospective roadmap, a projection of the potential influences of FLOSS in health care. RESULTS: FLOSS-HC already exists for more than 2 decades. Several projects have shown that FLOSS may produce highly competitive alternatives to proprietary solutions that are at least equivalent in usability and have a better total cost of ownership ratio. The Medfloss.org database currently lists 221 projects of diverse application types. CONCLUSIONS: FLOSS principles hold a great potential for addressing several of the most critical problems in health care IT. The authors argue that an ecosystem perspective is relevant and that FLOSS principles are best suited to create health IT systems that are able to evolve over time as medical knowledge, technologies, insights, workflows etc. continuously change. All these factors that inherently influence the development of health IT systems are changing at an ever growing pace. Traditional models of software engineering are not able to follow these changes and provide up-to-date systems for an acceptable cost/value ratio. To allow FLOSS to positively influence Health IT in the future a "FLOSS-friendly" environment has to be provided. Policy makers should resolve uncertainties in the legal framework that disfavor FLOSS. Certification procedures should be specified in a way that they do not raise additional barriers for FLOSS.}, issn = {0943-4747}, author = {Karopka, T and Schmuhl, H and Marcelo, A and Molin, J Dal and Wright, G} } @article {599, title = {Wikipedia: a key tool for global public health promotion.}, journal = {Journal of medical Internet research}, volume = {13}, year = {2011}, month = {2011}, pages = {e14}, abstract = {The Internet has become an important health information resource for patients and the general public. Wikipedia, a collaboratively written Web-based encyclopedia, has become the dominant online reference work. It is usually among the top results of search engine queries, including when medical information is sought. Since April 2004, editors have formed a group called WikiProject Medicine to coordinate and discuss the English-language Wikipedia{\textquoteright}s medical content. This paper, written by members of the WikiProject Medicine, discusses the intricacies, strengths, and weaknesses of Wikipedia as a source of health information and compares it with other medical wikis. Medical professionals, their societies, patient groups, and institutions can help improve Wikipedia{\textquoteright}s health-related entries. Several examples of partnerships already show that there is enthusiasm to strengthen Wikipedia{\textquoteright}s biomedical content. Given its unique global reach, we believe its possibilities for use as a tool for worldwide health promotion are underestimated. We invite the medical community to join in editing Wikipedia, with the goal of providing people with free access to reliable, understandable, and up-to-date health information.}, keywords = {Consumer Health Information, Encyclopedias as Topic, Health Promotion, Humans, Information Dissemination, Information Services, Internet, Patient Education as Topic, Public Health, World Health}, issn = {1438-8871}, author = {Heilman, James M and Kemmann, Eckhard and Bonert, Michael and Chatterjee, Anwesh and Ragar, Brent and Beards, Graham M and Iberri, David J and Harvey, Matthew and Thomas, Brendan and Stomp, Wouter and Martone, Michael F and Lodge, Daniel J and Vondracek, Andrea and de Wolff, Jacob F and Liber, Casimir and Grover, Samir C and Vickers, Tim J and Mesk{\'o}, Bertalan and Laurent, Micha{\"e}l R} } @article {849, title = {The Yale cTAKES extensions for document classification: architecture and application.}, journal = {J Am Med Inform Assoc}, volume = {18}, year = {2011}, month = {2011 Sep-Oct}, pages = {614-20}, abstract = {

BACKGROUND: Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to the development of effective clinical document classification systems. Clinical natural-language-processing systems annotate the syntax and semantics of clinical text; however, feature extraction and representation for document classification pose technical challenges.

METHODS: The authors developed extensions to the clinical Text Analysis and Knowledge Extraction System (cTAKES) that simplify feature extraction, experimentation with various feature representations, and the development of both rule and machine-learning based document classifiers. The authors describe and evaluate their system, the Yale cTAKES Extensions (YTEX), on the classification of radiology reports that contain findings suggestive of hepatic decompensation.

RESULTS AND DISCUSSION: The F(1)-Score of the system for the retrieval of abdominal radiology reports was 96\%, and was 79\%, 91\%, and 95\% for the presence of liver masses, ascites, and varices, respectively. The authors released YTEX as open source, available at http://code.google.com/p/ytex.

}, keywords = {Connecticut, Data Mining, Decision Support Systems, Clinical, electronic health records, Humans, Liver Failure, Natural Language Processing, Pattern Recognition, Automated, Radiology Information Systems}, issn = {1527-974X}, doi = {10.1136/amiajnl-2011-000093}, author = {Garla, Vijay and Lo Re, Vincent and Dorey-Stein, Zachariah and Kidwai, Farah and Scotch, Matthew and Womack, Julie and Justice, Amy and Brandt, Cynthia} } @article {611, title = {Evaluation of adaptive radiotherapy of bladder cancer by image-based tumour control probability modelling.}, journal = {Acta oncologica (Stockholm, Sweden)}, volume = {49}, year = {2010}, month = {2010 Oct}, pages = {1045-51}, abstract = {Clinical implementation of adaptive radiotherapy strategies could benefit from extended tools for plan evaluation and selection. For this purpose we investigated the feasibility of image-based tumour control probability (TCP) modelling using the bladder as example of a tumour site with potential benefit from adaptive strategies.}, keywords = {Carcinoma, Computer Simulation, Humans, Image Processing, Computer-Assisted, Models, Statistical, Probability, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted, Radiotherapy, Conformal, Tumor Burden, Urinary Bladder, Urinary Bladder Neoplasms}, issn = {1651-226X}, author = {Wright, Pauliina and Muren, Ludvig P and H{\o}yer, Morten and Malinen, Eirik} } @article {1016, title = {Experience implementing a point-of-care electronic medical record system for primary care in Malawi.}, journal = {Stud Health Technol Inform}, volume = {160}, year = {2010}, month = {2010}, pages = {96-100}, abstract = {

Due to the fact that health care professionals in Malawi are often overstretched, the use and quality of health data can be compromised. The Malawi Health Management Information System (HMIS) has streamlined data collection and reporting and increased the use of data to improve care. Obstacles remain, including incomplete reporting and low staff morale. With the Baobab Health Trust and the Malawi Ministry of Health, Partners In Health piloted an innovative point-of-care data system for primary care that functions alongside OpenMRS, an open source medical record platform. The system has given access to a patient-level primary care dataset in real time. Initial results highlight some of the benefits of a point-of-care system such as improved data quality, emphasize the importance of sharing data with clinical practitioners, and shed light on how this approach could strengthen HMIS.

}, keywords = {Database Management Systems, electronic health records, Equipment Design, Information Storage and Retrieval, Malawi, Point-of-Care Systems, Primary Health Care, Software}, issn = {0926-9630}, author = {Waters, Evan and Rafter, Jeff and Douglas, Gerald P and Bwanali, Mwatha and Jazayeri, Darius and Fraser, Hamish S F} } @article {586, title = {The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK).}, journal = {Computer methods and programs in biomedicine}, volume = {100}, year = {2010}, month = {2010 Oct}, pages = {79-86}, abstract = {Although non-rigid registration methods are available or under development for many specific problems in medicine, rigid and affine registration is an important task that is often performed for pre-aligning images before using non-rigid registration. In this paper, we present a free and open-source application for rigid and affine image registration, which is designed both for developers and for end-users. The application is based on the Medical Imaging Interaction Toolkit (MITK) and allows for inter-modality and intra-modality rigid 2D-2D and 3D-3D registration of medical images such as CT, MRI, or ultrasound. The framework as well as the application can be easily extended by adding new transforms, metrics and optimizers. Thus, developers of new algorithms are enabled to test and use their algorithms more quickly, spending less work on user interfaces. Additionally, the framework provides the possibility to use image masks to restrict the evaluation of metric values by the optimizer on certain areas of the images.}, keywords = {Computers, Diagnostic Imaging, Image Enhancement, Image Interpretation, Computer-Assisted, Pattern Recognition, Automated, Software, User-Computer Interface}, issn = {1872-7565}, author = {Stein, D and Fritzsche, K H and Nolden, M and Meinzer, H P and Wolf, I} } @article {20409608, title = {The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK).}, journal = {Computer methods and programs in biomedicine}, year = {2010}, month = {2010 Apr 19}, abstract = {Although non-rigid registration methods are available or under development for many specific problems in medicine, rigid and affine registration is an important task that is often performed for pre-aligning images before using non-rigid registration. In this paper, we present a free and open-source application for rigid and affine image registration, which is designed both for developers and for end-users. The application is based on the Medical Imaging Interaction Toolkit (MITK) and allows for inter-modality and intra-modality rigid 2D-2D and 3D-3D registration of medical images such as CT, MRI, or ultrasound. The framework as well as the application can be easily extended by adding new transforms, metrics and optimizers. Thus, developers of new algorithms are enabled to test and use their algorithms more quickly, spending less work on user interfaces. Additionally, the framework provides the possibility to use image masks to restrict the evaluation of metric values by the optimizer on certain areas of the images.}, author = {Stein, D and Fritzsche, K H and Nolden, M and Meinzer, H P and Wolf, I} } @article {20974022, title = {Functionalities of free and open electronic health record systems.}, journal = {International journal of technology assessment in health care}, volume = {26}, year = {2010}, month = {2010 Oct}, pages = {382-9}, abstract = {Objectives: The aim of this study was to examine open-source electronic health record (EHR) software to determine their level of functionalities according to the International Organization for Standardization (ISO) standards.Methods: ISO standards were used as a guideline to determine and describe the reference architecture and functionalities of a standard electronic health record system as well the environmental context for which the software has been built. Twelve open-source EHR systems were selected and evaluated according to two-dimensional criteria based on ISO/TS 18308:2004 functional requirements and ISO/TR 20514:2005 context of the EHR system.Results: Open EHR software programs mostly fulfill structural, procedural, evolutional, and medicolegal requirements at the minimal and full functionality levels. Communication, privacy, and security requirements are accomplished in less than 23 percent of the cases, mainly at minimal functional level. Ethical, cultural, and consumer requirements still need to be fulfilled by free and open-source EHR applications.Conclusions: Most analyzed systems had several functional limitations. Nevertheless, especially for clinicians and decision makers in developing countries, open-source EHR systems are an option. The limited functionalities are likely to become requirements for further releases of open-source EHR systems.}, author = {Flores Zuniga, Alejandro Enrique and Win, Khin Than and Susilo, Willy} } @article {20663165, title = {Heterogeneity prevails: the state of clinical trial data management in Europe - results of a survey of ECRIN centres.}, journal = {Trials}, volume = {11}, year = {2010}, month = {2010 Jul 21}, pages = {79}, abstract = {ABSTRACT: BACKGROUND: The use of Clinical Data Management Systems (CDMS) has become essential in clinical trials to handle the increasing amount of data that must be collected and analyzed. With a CDMS trial data are captured at investigator sites with "electronic Case Report Forms". Although more and more of these electronic data management systems are used in academic research centres an overview of CDMS products and of available data management and quality management resources for academic clinical trials in Europe is missing. METHODS: The ECRIN (European Clinical Research Infrastructure Network) data management working group conducted a two-part standardized survey on data management, software tools, and quality management for clinical trials. The questionnaires were answered by nearly 80 centres / units (with an overall response rate of 47\% and 43\%) from 12 European countries and EORTC. RESULTS: Our survey shows that about 90\% of centres have a CDMS in routine use. Of these CDMS nearly 50\% are commercial systems; Open Source solutions don{\textquoteright}t play a major role. In general, solutions used for clinical data management are very heterogeneous: 20 different commercial CDMS products (7 Open Source solutions) in addition to 17/18 proprietary systems are in use. The most widely employed CDMS products are MACRO TM and Capture System TM, followed by solutions that are used in at least 3 centres: eResearch Network TM, CleanWeb TM, GCP Base TM and SAS TM. Although quality management systems for data management are in place in most centres / units, there exist some deficits in the area of system validation. CONCLUSIONS: Because the considerable heterogeneity of data management software solutions may be a hindrance to cooperation based on trial data exchange, standards like CDISC (Clinical Data Interchange Standard Consortium) should be implemented more widely. In a heterogeneous environment the use of data standards can simplify data exchange, increase the quality of data and prepare centres for new developments (e.g. the use of EHR for clinical research). Because data management and the use of electronic data capture systems in clinical trials are characterized by the impact of regulations and guidelines, ethical concerns are discussed. In this context quality management becomes an important part of compliant data management. To address these issues ECRIN will establish certified data centres to support electronic data management and associated compliance needs of clinical trial centres in Europe.}, url = {http://www.trialsjournal.com/content/11/1/79}, author = {Kuchinke, Wolfgang and Ohmann, Christian and Yang, Qin and Salas, Nader and Lauritsen, Jens and Gueyffier, Francois and Leizorovicz, Alan and Schade-Brittinger, Carmen and Wittenberg, Michael and Voko, Zoltan and Gaynor, Siobhan and Cooney, Margaret and Doran, Peter and Maggioni, Aldo and Lorimer, Andrea and Torres, Ferran and McPherson, Gladys and Charvill, Jim and Hellstrom, Mats and Lejeune, Stephane} } @article {20348080, title = {Need for open-source electronic health records.}, journal = {Health affairs (Project Hope)}, volume = {29}, year = {2010}, month = {2010 Feb}, pages = {332-4; author reply 332}, author = {Wilder, Bruce} } @article {487, title = {An open source software project for obstetrical procedure scheduling and occupancy analysis.}, journal = {Health care management science}, year = {2010}, month = {2010 Oct 27}, abstract = {Increases in the rate of births via cesarean section and induced labor have led to challenging scheduling and capacity planning problems for hospital inpatient obstetrical units. We present occupancy and patient scheduling models to help address these challenges. These patient flow models can be used to explore the relationship between procedure scheduling practices and the resulting occupancy on inpatient obstetrical units such as labor and delivery and postpartum. The models capture numerous important characteristics of inpatient obstetrical patient flow such as time of day and day of week dependent arrivals and length of stay, multiple patient types and clinical interventions, and multiple patient care units with inter-unit patient transfers. We have used these models in several projects at different hospitals involving design of procedure scheduling templates and analysis of inpatient obstetrical capacity. In the development of these models, we made heavy use of open source software tools and have released the entire project as a free and open source model and software toolkit.}, issn = {1386-9620}, author = {Isken, Mark W and Ward, Timothy J and Littig, Steven J} } @article {1043, title = {An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging.}, journal = {BMC Med Imaging}, volume = {10}, year = {2010}, month = {2010}, pages = {16}, abstract = {

BACKGROUND: In magnetic resonance (MR) imaging, T1, T2 and T2* relaxation times represent characteristic tissue properties that can be quantified with the help of specific imaging strategies. While there are basic software tools for specific pulse sequences, until now there is no universal software program available to automate pixel-wise mapping of relaxation times from various types of images or MR systems. Such a software program would allow researchers to test and compare new imaging strategies and thus would significantly facilitate research in the area of quantitative tissue characterization.

RESULTS: After defining requirements for a universal MR mapping tool, a software program named MRmap was created using a high-level graphics language. Additional features include a manual registration tool for source images with motion artifacts and a tabular DICOM viewer to examine pulse sequence parameters. MRmap was successfully tested on three different computer platforms with image data from three different MR system manufacturers and five different sorts of pulse sequences: multi-image inversion recovery T1; Look-Locker/TOMROP T1; modified Look-Locker (MOLLI) T1; single-echo T2/T2*; and multi-echo T2/T2*. Computing times varied between 2 and 113 seconds. Estimates of relaxation times compared favorably to those obtained from non-automated curve fitting. Completed maps were exported in DICOM format and could be read in standard software packages used for analysis of clinical and research MR data.

CONCLUSIONS: MRmap is a flexible cross-platform research tool that enables accurate mapping of relaxation times from various pulse sequences. The software allows researchers to optimize quantitative MR strategies in a manufacturer-independent fashion. The program and its source code were made available as open-source software on the internet.

}, keywords = {Algorithms, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Programming Languages, Reproducibility of Results, Sensitivity and Specificity, Software}, issn = {1471-2342}, doi = {10.1186/1471-2342-10-16}, author = {Messroghli, Daniel R and Rudolph, Andre and Abdel-Aty, Hassan and Wassmuth, Ralf and Kuhne, Titus and Dietz, Rainer and Schulz-Menger, Jeanette} } @article {1471-2342-10-16, title = {An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging}, journal = {BMC Medical Imaging}, volume = {10}, number = {1}, year = {2010}, pages = {16}, abstract = {BACKGROUND:In magnetic resonance (MR) imaging, T1, T2 and T2* relaxation times represent characteristic tissue properties that can be quantified with the help of specific imaging strategies. While there are basic software tools for specific pulse sequences, until now there is no universal software program available to automate pixel-wise mapping of relaxation times from various types of images or MR systems. Such a software program would allow researchers to test and compare new imaging strategies and thus would significantly facilitate research in the area of quantitative tissue characterization. RESULTS:After defining requirements for a universal MR mapping tool, a software program named MRmap was created using a high-level graphics language. Additional features include a manual registration tool for source images with motion artifacts and a tabular DICOM viewer to examine pulse sequence parameters. MRmap was successfully tested on three different computer platforms with image data from three different MR system manufacturers and five different sorts of pulse sequences: multi-image inversion recovery T1; Look-Locker/ TOMROP T1; modified Look-Locker inversion recovery (MOLLI) T1; single-echo T2/ T2*; and multi-echo T2/ T2*. Computing times varied between 2 and 113 seconds. Estimates of relaxation times compared favorably to those obtained from non-automated curve fitting. Completed maps were exported in DICOM format and could be read in standard software packages used for analysis of clinical and research MR data. CONCLUSIONS:MRmap is a flexible cross-platform research tool that enables accurate mapping of relaxation times from various pulse sequences. The software allows researchers to optimize quantitative MR strategies in a manufacturer-independent fashion. The program and its source code were made available as open-source software on the internet. }, issn = {1471-2342}, doi = {10.1186/1471-2342-10-16}, url = {http://www.biomedcentral.com/1471-2342/10/16}, author = {Messroghli, Daniel and Rudolph, Andre and Abdel-Aty, Hassan and Wassmuth, Ralf and Kuhne, Titus and Dietz, Rainer and Schulz-Menger, Jeanette} } @inbook {springerlink:10.1007/978-3-642-12197-5_85, title = {rtMEG: A Real-Time Software Toolbox for Brain-Machine Interfaces Using Magnetoencephelography}, booktitle = {17th International Conference on Biomagnetism Advances in Biomagnetism {\textendash} Biomag2010}, series = {IFMBE Proceedings}, volume = {28}, year = {2010}, note = {10.1007/978-3-642-12197-5_85}, pages = {362-365}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, isbn = {978-3-642-12197-5}, url = {http://dx.doi.org/10.1007/978-3-642-12197-5_85}, author = {Sudre, Gustavo and Wang, Wei and Song, Tao and Kajola, Matti and Vinjamuri, Ramana and Collinger, Jennifer and Degenhart, Alan and Bagic, Anto and Weber, Doug J.}, editor = {Magjarevic, R. and Nagel, J. H. and Supek, Selma and Su{\v s}ac, Ana} } @article {20482787, title = {Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities.}, journal = {BMC bioinformatics}, volume = {11}, year = {2010}, month = {2010}, pages = {260}, abstract = {BACKGROUND: Shared-usage high throughput screening (HTS) facilities are becoming more common in academe as large-scale small molecule and genome-scale RNAi screening strategies are adopted for basic research purposes. These shared facilities require a unique informatics infrastructure that must not only provide access to and analysis of screening data, but must also manage the administrative and technical challenges associated with conducting numerous, interleaved screening efforts run by multiple independent research groups. RESULTS: We have developed Screensaver, a free, open source, web-based lab information management system (LIMS), to address the informatics needs of our small molecule and RNAi screening facility. Screensaver supports the storage and comparison of screening data sets, as well as the management of information about screens, screeners, libraries, and laboratory work requests. To our knowledge, Screensaver is one of the first applications to support the storage and analysis of data from both genome-scale RNAi screening projects and small molecule screening projects. CONCLUSIONS: The informatics and administrative needs of an HTS facility may be best managed by a single, integrated, web-accessible application such as Screensaver. Screensaver has proven useful in meeting the requirements of the ICCB-Longwood/NSRB Screening Facility at Harvard Medical School, and has provided similar benefits to other HTS facilities.}, author = {Tolopko, Andrew N and Sullivan, John P and Erickson, Sean D and Wrobel, David and Chiang, Su L and Rudnicki, Katrina and Rudnicki, Stewart and Nale, Jennifer and Selfors, Laura M and Greenhouse, Dara and Muhlich, Jeremy L and Shamu, Caroline E} } @article {19403467, title = {Acceptability of a personally controlled health record in a community-based setting: implications for policy and design.}, journal = {Journal of medical Internet research}, volume = {11}, year = {2009}, month = {2009}, pages = {e14}, abstract = {BACKGROUND: Consumer-centered health information systems that address problems related to fragmented health records and disengaged and disempowered patients are needed, as are information systems that support public health monitoring and research. Personally controlled health records (PCHRs) represent one response to these needs. PCHRs are a special class of personal health records (PHRs) distinguished by the extent to which users control record access and contents. Recently launched PCHR platforms include Google Health, Microsoft{\textquoteright}s HealthVault, and the Dossia platform, based on Indivo. OBJECTIVE: To understand the acceptability, early impacts, policy, and design requirements of PCHRs in a community-based setting. METHODS: Observational and narrative data relating to acceptability, adoption, and use of a personally controlled health record were collected and analyzed within a formative evaluation of a PCHR demonstration. Subjects were affiliates of a managed care organization run by an urban university in the northeastern United States. Data were collected using focus groups, semi-structured individual interviews, and content review of email communications. Subjects included: n = 20 administrators, clinicians, and institutional stakeholders who participated in pre-deployment group or individual interviews; n = 52 community members who participated in usability testing and/or pre-deployment piloting; and n = 250 subjects who participated in the full demonstration of which n = 81 initiated email communications to troubleshoot problems or provide feedback. All data were formatted as narrative text and coded thematically by two independent analysts using a shared rubric of a priori defined major codes. Sub-themes were identified by analysts using an iterative inductive process. Themes were reviewed within and across research activities (ie, focus group, usability testing, email content review) and triangulated to identify patterns. RESULTS: Low levels of familiarity with PCHRs were found as were high expectations for capabilities of nascent systems. Perceived value for PCHRs was highest around abilities to co-locate, view, update, and share health information with providers. Expectations were lowest for opportunities to participate in research. Early adopters perceived that PCHR benefits outweighed perceived risks, including those related to inadvertent or intentional information disclosure. Barriers and facilitators at institutional, interpersonal, and individual levels were identified. Endorsement of a dynamic platform model PCHR was evidenced by preferences for embedded searching, linking, and messaging capabilities in PCHRs; by high expectations for within-system tailored communications; and by expectation of linkages between self-report and clinical data. CONCLUSIONS: Low levels of awareness/preparedness and high expectations for PCHRs exist as a potentially problematic pairing. Educational and technical assistance for lay users and providers are critical to meet challenges related to: access to PCHRs, especially among older cohorts; workflow demands and resistance to change among providers; inadequate health and technology literacy; clarification of boundaries and responsibility for ensuring accuracy and integrity of health information across distributed data systems; and understanding confidentiality and privacy risks. Continued demonstration and evaluation of PCHRs is essential to advancing their use.}, author = {Weitzman, Elissa R and Kaci, Liljana and Mandl, Kenneth D} } @article {523, title = {Barriers to open source software adoption in Quebec{\textquoteright}s health care organizations.}, journal = {Journal of medical systems}, volume = {33}, year = {2009}, month = {2009 Feb}, pages = {1-7}, abstract = {We conducted in-depth interviews with 15 CIOs to identify the principal impediments to adoption of open source software in the Quebec health sector. We found that key factors for not adopting an open source solution were closely linked to the orientations of ministry level policy makers and a seeming lack of information on the part of operational level IT managers concerning commercially oriented open source providers. We use the case of recent changes in the structure of Quebec{\textquoteright}s health care organizations and a change in the commercial policies of a key vendor to illustrate our conclusions regarding barriers to adoption of open source products.}, keywords = {Attitude of Health Personnel, Delivery of Health Care, Health Facility Administrators, Health Policy, Humans, Medical Informatics, Organizational Innovation, Quebec, Software, Systems Integration, Technology Transfer}, issn = {0148-5598}, author = {Par{\'e}, Guy and Wybo, Michael D and Delannoy, Charles} } @article {499, title = {Bayesian analysis of neuroimaging data in FSL.}, journal = {NeuroImage}, volume = {45}, year = {2009}, month = {2009 Mar}, pages = {S173-86}, abstract = {Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy images of the brain. This might be the inference of percent changes in blood flow in perfusion FMRI data, segmentation of subcortical structures from structural MRI, or inference of the probability of an anatomical connection between an area of cortex and a subthalamic nucleus using diffusion MRI. In this article we will describe how Bayesian techniques have made a significant impact in tackling problems such as these, particularly in regards to the analysis tools in the FMRIB Software Library (FSL). We shall see how Bayes provides a framework within which we can attempt to infer on models of neuroimaging data, while allowing us to incorporate our prior belief about the brain and the neuroimaging equipment in the form of biophysically informed or regularising priors. It allows us to extract probabilistic information from the data, and to probabilistically combine information from multiple modalities. Bayes can also be used to not only compare and select between models of different complexity, but also to infer on data using committees of models. Finally, we mention some analysis scenarios where Bayesian methods are impractical, and briefly discuss some practical approaches that we have taken in these cases.}, keywords = {Bayes Theorem, Brain, Diffusion Magnetic Resonance Imaging, Humans, Image Interpretation, Computer-Assisted, Software}, issn = {1095-9572}, author = {Woolrich, Mark W and Jbabdi, Saad and Patenaude, Brian and Chappell, Michael and Makni, Salima and Behrens, Timothy and Beckmann, Christian and Jenkinson, Mark and Smith, Stephen M} } @article {19352444, title = {DataViewer3D: An Open-Source, Cross-Platform Multi-Modal Neuroimaging Data Visualization Tool.}, journal = {Frontiers in neuroinformatics}, volume = {3}, year = {2009}, month = {2009}, pages = {9}, abstract = {Integration and display of results from multiple neuroimaging modalities [e.g. magnetic resonance imaging (MRI), magnetoencephalography, EEG] relies on display of a diverse range of data within a common, defined coordinate frame. DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies. While DV3D is primarily a visualization tool, the package allows an analysis approach where results from one imaging modality can guide comparative analysis of another modality in a single coordinate space. DV3D is built on Python, a dynamic object-oriented programming language with support for integration of modular toolkits, and development of cross-platform software for neuroimaging. DV3D harnesses the power of the Visualization Toolkit (VTK) for two-dimensional (2D) and 3D rendering, calling VTK{\textquoteright}s low level C++ functions from Python. Users interact with data via an intuitive interface that uses Python to bind wxWidgets, which in turn calls the user{\textquoteright}s operating system dialogs and graphical user interface tools. DV3D currently supports NIfTI-1, ANALYZE and DICOM formats for MRI data display (including statistical data overlay). Formats for other data types are supported. The modularity of DV3D and ease of use of Python allows rapid integration of additional format support and user development. DV3D has been tested on Mac OSX, RedHat Linux and Microsoft Windows XP. DV3D is offered for free download with an extensive set of tutorial resources and example data.}, author = {Gouws, Andr{\'e} and Woods, Will and Millman, Rebecca and Morland, Antony and Green, Gary} } @article {19439392, title = {Interactive segmentation framework of the Medical Imaging Interaction Toolkit.}, journal = {Computer methods and programs in biomedicine}, volume = {96}, year = {2009}, month = {2009 Oct}, pages = {72-83}, abstract = {Interactive methods are indispensable for real world applications of segmentation in medicine, at least to allow for convenient and fast verification and correction of automated techniques. Besides traditional interactive tasks such as adding or removing parts of a segmentation, adjustment of contours or the placement of seed points, the relatively recent Graph Cut and Random Walker segmentation methods demonstrate an interest in advanced interactive strategies for segmentation. Though the value of toolkits and extensible applications is generally accepted for the development of new segmentation algorithms, the topic of interactive segmentation applications is rarely addressed by current toolkits and applications. In this paper, we present the extension of the Medical Imaging Interaction Toolkit (MITK) with a framework for the development of interactive applications for image segmentation. The framework provides a clear structure for the development of new applications and offers a plugin mechanism to easily extend existing applications with additional segmentation tools. In addition, the framework supports shape-based interpolation and multi-level undo/redo of modifications to binary images. To demonstrate the value of the framework, we also present a free, open-source application named InteractiveSegmentation for manual segmentation of medical images (including 3D+t), which is built based on the extended MITK framework. The application includes several features to effectively support manual segmentation, which are not found in comparable freely available applications. InteractiveSegmentation is fully developed and successfully and regularly used in several projects. Using the plugin mechanism, the application enables developers of new algorithms to begin algorithmic work more quickly.}, author = {Maleike, D and Nolden, M and Meinzer, H-P and Wolf, I} } @article {19745456, title = {Open source and healthcare in Europe - time to put leading edge ideas into practice.}, journal = {Studies in health technology and informatics}, volume = {150}, year = {2009}, month = {2009}, pages = {963-7}, abstract = {Free/Libre and Open Source Software (FLOSS) is a process of software development, a method of licensing and a philosophy. Although FLOSS plays a significant role in several market areas, the impact in the health care arena is still limited. FLOSS is promoted as one of the most effective means for overcoming fragmentation in the health care sector and providing a basis for more efficient, timely and cost effective health care provision. The 2008 European Federation for Medical Informatics (EFMI) Special Topic Conference (STC) explored a range of current and future issues related to FLOSS in healthcare (FLOSS-HC). In particular, there was a focus on health records, ubiquitous computing, knowledge sharing, and current and future applications. Discussions resulted in a list of main barriers and challenges for use of FLOSS-HC. Based on the outputs of this event, the 2004 Open Steps events and subsequent workshops at OSEHC2009 and Med-e-Tel 2009, a four-step strategy has been proposed for FLOSS-HC: 1) a FLOSS-HC inventory; 2) a FLOSS-HC collaboration platform, use case database and knowledge base; 3) a worldwide FLOSS-HC network; and 4) FLOSS-HC dissemination activities. The workshop will further refine this strategy and elaborate avenues for FLOSS-HC from scientific, business and end-user perspectives. To gain acceptance by different stakeholders in the health care industry, different activities have to be conducted in collaboration. The workshop will focus on the scientific challenges in developing methodologies and criteria to support FLOSS-HC in becoming a viable alternative to commercial and proprietary software development and deployment.}, author = {Murray, Peter J and Wright, Graham and Karopka, Thomas and Betts, Helen and Orel, Andrej} } @article {19157968, title = {The OpenMRS Implementers Network.}, journal = {International journal of medical informatics}, volume = {78}, year = {2009}, month = {2009 Nov}, pages = {711-20}, abstract = {OBJECTIVE: OpenMRS (www.openmrs.org) is a configurable open source electronic medical record application developed and maintained by a large network of open source developers coordinated by the Regenstrief Institute and Partners in Health and mainly used for HIV patient and treatment information management in Africa. Our objective is to develop an open Implementers Network for OpenMRS to provide regional support for the growing number of OpenMRS implementations in Africa and to include African developers and implementers in the future growth of OpenMRS. METHODS: We have developed the OpenMRS Implementers Network using a dedicated Wiki site and e-mail server. We have also organized annual meetings in South Africa and regional training courses at African locations where OpenMRS is being implemented. An OpenMRS Internship program has been initiated and we have started collaborating with similar networks and projects working in Africa. To evaluate its potential, OpenMRS was implemented initially at one site in South Africa by a single implementer using a downloadable OpenMRS application and only the OpenMRS Implementers Network for support. RESULTS: The OpenMRS Implementers Network Wiki and list server have grown into effective means of providing implementation support and forums for exchange of implementation experiences. The annual OpenMRS Implementers meeting has been held in South Africa for the past three years and is attracting successively larger numbers of participants with almost 200 implementers and developers attending the 2008 meeting in Durban, South Africa. Six African developers are presently registered on the first intake of the OpenMRS Internship program. Successful collaborations have been started with several African developer groups and projects initiated to develop interoperability between OpenMRS and various applications. The South African OpenMRS Implementer group successfully configured, installed and maintained an integrated HIV/TB OpenMRS application without significant programming support. Since then, this model has been replicated in several other African sites. The OpenMRS Implementers Network has contributed substantially to the growth and sustainability of OpenMRS in Africa and has become a useful way of including Africans in the development and implementation of OpenMRS in developing countries. The Network provides valuable support and enables a basic OpenMRS application to be implemented in the absence of onsite programmers.}, url = {http://www.healthware.org/openmrs/openmrs.pdf}, author = {Seebregts, Christopher J and Mamlin, Burke W and Biondich, Paul G and Fraser, Hamish S F and Wolfe, Benjamin A and Jazayeri, Darius and Allen, Christian and Miranda, Justin and Baker, Elaine and Musinguzi, Nicholas and Kayiwa, Daniel and Fourie, Carl and Lesh, Neal and Kanter, Andrew and Yiannoutsos, Constantin T and Bailey, Christopher} } @article {444, title = {Visualization Software for Real-time, Image-guided Therapeutics in Cardiovascular Interventions}, year = {2009}, publisher = {CCSd/HAL : e-articles server (based on gBUS) [http://hal.ccsd.cnrs.fr/oai/oai.php] (France)}, abstract = {This paper introduces RtViewer, a four-dimensional (3D + time) real-time visualization software for guiding cardiovascular interventions that is open source and freely available. RtViewer was designed to be part of a pipeline that can connect it to a magnetic resonance imaging (MRI) scanner, actively tracked catheters, and navigational devices. The architecture and features of RtViewer will be described with examples of guiding percutaneous cardiovascular interventions. The paper concludes with a brief description of the work in progress on the next generation of this platform, named Vurtigo.}, keywords = {Computer Science/Medical Imaging}, url = {http://hal.archives-ouvertes.fr/inria-00417831/en/}, author = {Pintilie, Stefan and Biswas, Labonny and Anderson, Kevan and Dick, Sandy and Wright, Graham and Radau, Perry} } @article {10.1109/HICSS.2008.26, title = {A Light-Weight Component for Adding Decision Support to Electronic Medical Records}, journal = {Hawaii International Conference on System Sciences}, year = {2008}, pages = {251}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, issn = {1530-1605}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2008.26}, author = {Jens H. Weber-Jahnke and Glen McCallum} } @article {17917780, title = {Benefits of using the DCM4CHE DICOM archive.}, journal = {Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology}, volume = {20 Suppl 1}, year = {2007}, month = {2007 Nov}, pages = {125-9}, url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2039778}, author = {Warnock, Max J and Toland, Christopher and Evans, Damien and Wallace, Bill and Nagy, Paul} } @article {17356215, title = {Comparison of four freely available frameworks for image processing and visualization that use ITK.}, journal = {IEEE transactions on visualization and computer graphics}, volume = {13}, year = {2007}, month = {2007 May-Jun}, pages = {483-93}, abstract = {Most image processing and visualization applications allow users to configure computation parameters and manipulate the resulting visualizations. SCIRun, VolView, MeVisLab, and the Medical Interaction Toolkit (MITK) are four image processing and visualization frameworks that were built for these purposes. All frameworks are freely available and all allow the use of the ITK C++ library. In this paper, the benefits and limitations of each visualization framework are presented to aid both application developers and users in the decision of which framework may be best to use for their application. The analysis is based on more than 50 evaluation criteria, functionalities, and example applications. We report implementation times for various steps in the creation of a reference application in each of the compared frameworks. The data-flow programming frameworks, SCIRun and MeVisLab, were determined to be best for developing application prototypes, while VolView was advantageous for nonautomatic end-user applications based on existing ITK functionalities, and MITK was preferable for automated end-user applications that might include new ITK classes specifically designed for the application.}, author = {Bitter, Ingmar and Van Uitert, Robert and Wolf, Ivo and Ib{\'a}{\~n}ez, Luis and Kuhnigk, Jan-Martin} } @article {17238397, title = {Cooking up an open source EMR for developing countries: OpenMRS - a recipe for successful collaboration.}, journal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium}, year = {2006}, month = {2006}, pages = {529-33}, abstract = {Millions of people are continue to die each year from HIV/AIDS. The majority of infected persons (>95\%) live in the developing world. A worthy response to this pandemic will require coordinated, scalable, and flexible information systems. We describe the OpenMRS system, an open source, collaborative effort that can serve as a foundation for EMR development in developing countries. We report our progress to date, lessons learned, and future directions.}, url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1839638}, author = {Mamlin, Burke W and Biondich, Paul G and Wolfe, Ben A and Fraser, Hamish and Jazayeri, Darius and Allen, Christian and Miranda, Justin and Tierney, William M} } @article {17238765, title = {The OpenMRS system: collaborating toward an open source EMR for developing countries.}, journal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium}, year = {2006}, month = {2006}, pages = {1146}, abstract = {OpenMRS is an open source infrastructure for the creation of medical record systems in developing countries. Produced and maintained collaboratively across multiple institutions, this framework consists of an open source data model, a set of core application functions, and a default implementation. The goal of this implementation is to provide the beginnings of an EMR that is suitable for all groups involved with healthcare in developing countries.}, author = {Wolfe, Benjamin A and Mamlin, Burke W and Biondich, Paul G and Fraser, Hamish S F and Jazayeri, Darius and Allen, Christian and Miranda, Justin and Tierney, William M} } @article {10.1109/HICSS.2005.166, title = {Contrasting Community Building in Sponsored and Community Founded Open Source Projects}, journal = {Hawaii International Conference on System Sciences}, volume = {7}, year = {2005}, pages = {196c}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, issn = {1530-1605}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2005.166}, author = {Joel West and Siobh{\'a}n O{\textquoteright}Mahony} } @article {587, title = {The medical imaging interaction toolkit.}, journal = {Medical image analysis}, volume = {9}, year = {2005}, month = {2005 Dec}, pages = {594-604}, abstract = {Thoroughly designed, open-source toolkits emerge to boost progress in medical imaging. The Insight Toolkit (ITK) provides this for the algorithmic scope of medical imaging, especially for segmentation and registration. But medical imaging algorithms have to be clinically applied to be useful, which additionally requires visualization and interaction. The Visualization Toolkit (VTK) has powerful visualization capabilities, but only low-level support for interaction. In this paper, we present the Medical Imaging Interaction Toolkit (MITK). The goal of MITK is to significantly reduce the effort required to construct specifically tailored, interactive applications for medical image analysis. MITK allows an easy combination of algorithms developed by ITK with visualizations created by VTK and extends these two toolkits with those features, which are outside the scope of both. MITK adds support for complex interactions with multiple states as well as undo-capabilities, a very important prerequisite for convenient user interfaces. Furthermore, MITK facilitates the realization of multiple, different views of the same data (as a multiplanar reconstruction and a 3D rendering) and supports the visualization of 3D+t data, whereas VTK is only designed to create one kind of view of 2D or 3D data. MITK reuses virtually everything from ITK and VTK. Thus, it is not at all a competitor to ITK or VTK, but an extension, which eases the combination of both and adds the features required for interactive, convenient to use medical imaging software. MITK is an open-source project (www.mitk.org).}, keywords = {Algorithms, Artificial Intelligence, Computer Graphics, Diagnostic Imaging, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Pattern Recognition, Automated, Software, User-Computer Interface}, issn = {1361-8415}, author = {Wolf, Ivo and Vetter, Marcus and Wegner, Ingmar and B{\"o}ttger, Thomas and Nolden, Marco and Sch{\"o}binger, Max and Hastenteufel, Mark and Kunert, Tobias and Meinzer, Hans-Peter} } @article {500, title = {Advances in functional and structural MR image analysis and implementation as FSL.}, journal = {NeuroImage}, volume = {23 Suppl 1}, year = {2004}, month = {2004}, pages = {S208-19}, abstract = {The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB{\textquoteright}s Software Library (FSL).}, keywords = {Bayes Theorem, Brain, Databases, Factual, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Neurological, Models, Statistical, Software}, issn = {1053-8119}, author = {Smith, Stephen M and Jenkinson, Mark and Woolrich, Mark W and Beckmann, Christian F and Behrens, Timothy E J and Johansen-Berg, Heidi and Bannister, Peter R and De Luca, Marilena and Drobnjak, Ivana and Flitney, David E and Niazy, Rami K and Saunders, James and Vickers, John and Zhang, Yongyue and De Stefano, Nicola and Brady, J Michael and Matthews, Paul M} } @article {762, title = {A flexible registration framework for multimodal image data.}, journal = {Conf Proc IEEE Eng Med Biol Soc}, volume = {3}, year = {2004}, month = {2004}, pages = {1755-8}, abstract = {This paper describes a registration framework based on the insight segmentation and registration toolkit (ITK) which can be used for matching multimodal image data. Different target groups with individual needs and precognition are addressed. The framework offers tools for supporting different matching tasks in a clinical environment. A setup editor defines specific rigid or non rigid matching approaches and the appropriate parameters. Different metrics including a correlation metric, a difference metric and mutual information based metrics are available. Furthermore, a test series editor can be used to evaluate the selected setup. The evaluation results, which are expressed in statistical figures, trends and performance measures, can be visualized and used for an optimal adapted setup configuration. Tests for matching precision, quality and parameter adjustments are offered. For export and import of image data, the most frequently used file formats of clinical environments like DICOM and ANALYZE are supported. We demonstrate some registration examples which frequently occur in the neurosurgical routine of a University Hospital.}, issn = {1557-170X}, doi = {10.1109/IEMBS.2004.1403526}, author = {Dickhaus, H and Floca, R and Eisenmann, U and Metzner, R and Wirtz, C R} } @article {15361001, title = {The RODS Open Source Project: removing a barrier to syndromic surveillance.}, journal = {Studies in health technology and informatics}, volume = {107}, year = {2004}, month = {2004}, pages = {1192-6}, abstract = {The goal of the Real-time Outbreak and Disease Surveillance (RODS) Open Source Project is to accelerate deployment of computer-based syndromic surveillance. To this end, the project has released the RODS software under the GNU General Public License and created an organizational structure to catalyze its development. This paper describes the design of the software, requested extensions, and the structure of the development effort.}, author = {Espino, Jeremy U and Wagner, Michael M and Tsui, Fu-Chang and Su, Hoah-Der and Olszewski, Robert T and Lie, Zhen and Chapman, Wendy and Zeng, Xiaoming and Ma, Lili and Lu, Zhong Wei and Dara, Jagan} } @article {12925540, title = {Open-source software and the primary care EMR.}, journal = {Journal of the American Medical Informatics Association : JAMIA}, volume = {10}, year = {2003}, month = {2003 Nov-Dec}, pages = {616; author reply 617}, author = {Kantor, Gareth S and Wilson, Wayne D and Midgley, Adrian} } @article {12807803, title = {Technical description of RODS: a real-time public health surveillance system.}, journal = {Journal of the American Medical Informatics Association : JAMIA}, volume = {10}, year = {2003}, month = {2003 Sep-Oct}, pages = {399-408}, abstract = {This report describes the design and implementation of the Real-time Outbreak and Disease Surveillance (RODS) system, a computer-based public health surveillance system for early detection of disease outbreaks. Hospitals send RODS data from clinical encounters over virtual private networks and leased lines using the Health Level 7 (HL7) message protocol. The data are sent in real time. RODS automatically classifies the registration chief complaint from the visit into one of seven syndrome categories using Bayesian classifiers. It stores the data in a relational database, aggregates the data for analysis using data warehousing techniques, applies univariate and multivariate statistical detection algorithms to the data, and alerts users of when the algorithms identify anomalous patterns in the syndrome counts. RODS also has a Web-based user interface that supports temporal and spatial analyses. RODS processes sales of over-the-counter health care products in a similar manner but receives such data in batch mode on a daily basis. RODS was used during the 2002 Winter Olympics and currently operates in two states-Pennsylvania and Utah. It has been and continues to be a resource for implementing, evaluating, and applying new methods of public health surveillance.}, author = {Tsui, Fu-Chiang and Espino, Jeremy U and Dato, Virginia M and Gesteland, Per H and Hutman, Judith and Wagner, Michael M} }