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Clinical Data Repository
Healthcare is Information Intensive - Data: Information: Knowledge
21st Century Healthcare is under pressure, around the globe.
We need to work smarter not harder – to survive, yet alone thrive.
Currently Health IT is holding healthcare back.
We must raise our game in this information intensive field
The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics. All our solutions are open-source.
OHDSI has established an international network of researchers and observational health databases with a central coordinating center housed at Columbia University.
i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origins. This platform currently enjoys wide international adoption by the CTSA network, academic health centers, and industry.
MOLGENIS is a modular web application for scientific data. MOLGENIS was born from molecular genetics research (and was called 'molecular genetics information system') but has grown, thanks too many sponsors and contributors, to be used in many scientifc areas such as biobanking, rare disease research, patient registries and even energy research. MOLGENIS provides researchers with user friendly and scalable software infrastructures to capture, exchange, and exploit the large amounts of data that is being produced by scientific organisations all around the world.
OBiBa software consists of a suite of stand-alone applications that support various study's data management activities. These modular applications can be integrated to create a comprehensive information management and analysis system for individual studies.
As part of the Maelstrom Research program, OBiBa suite includes advanced software components enabling data harmonization and federation for study networks that aim to harmonize and share securely data among their members.
i2b2 has turned out to be a very valuable component for secondary use of routine clinical data. Its pragmatic database schema allows merging of data from heterogeneous data sources, and the intuitive user interface enables easy querying and powerful processing. However, it's a component rather than a complete solution: The user is facing several barriers when integrating i2b2 into the operational workflow.
Ogles2 is an interactive slice and volume visualization and analysis tool based on Open Inventor / Coin3D. Ogles2 allows for reproducing the workflow of frame based stereotactic neurosurgery. In the long run it strives for being an open source stereotactic planning and analysis system. Ogles2 is NOT APPROVED FOR CLINICAL USE.
ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.
ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.
Bioconductor is an open source, open development software project to provide tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language.
The Bioconductor release version is updated twice each year, and is appropriate for most users. There is also a development version, to which new features and packages are added prior to incorporation in the release. A large number of meta-data packages provide pathway, organism, microarray and other annotations.
tranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work.
The integration, normalization, and alignment of data in tranSMART permits users to explore data very efficiently to formulate new research strategies. Some of tranSMART's specific applications include:
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