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I
J. Alan Wilhelm, Qiu, M., Paina, L., Colantuoni, E., Mukuru, M., Ssengooba, F., and Bennett, S., The impact of PEPFAR transition on HIV service delivery at health facilities in Uganda., PLoS One, vol. 14, no. 10, p. e0223426, 2019.
R. Warden, Impact of caBIG on the European cancer community., Ecancermedicalscience, vol. 5, p. 225, 2011.
V. J. Tuominen, Ruotoistenmaki, S., Viitanen, A., Jumppanen, M., and Isola, J., ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67., Breast cancer research : BCR, vol. 12, no. 4, p. R56, 2010.
J. Schindelin, Rueden, C. T., Hiner, M. C., and Eliceiri, K. W., The ImageJ ecosystem: An open platform for biomedical image analysis., Mol Reprod Dev, 2015.
A. Enquobahrie, Cheng, P., Gary, K., Ibanez, L., Gobbi, D., Lindseth, F., Yaniv, Z., Aylward, S., Jomier, J., and Cleary, K., The image-guided surgery toolkit IGSTK: an open source C++ software toolkit., J Digit Imaging, vol. 20 Suppl 1, pp. 21-33, 2007.
T. Vrekoussis, Chaniotis, V., Navrozoglou, I., Dousias, V., Pavlakis, K., Stathopoulos, E. N., and Zoras, O., Image analysis of breast cancer immunohistochemistry-stained sections using ImageJ: an RGB-based model., Anticancer research, vol. 29, no. 12, pp. 4995-8, 2009.
N. Xi, Wallace, R., Agarwal, G., Chan, D., Gershon, A., and Gupta, S., Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study., Can Fam Physician, vol. 61, no. 10, pp. e474-83, 2015.
A. Brusan, F Durmaz, A., Yaman, A., and Öztürk, C., iBEX: Modular Open-Source Software for Digital Radiography., J Digit Imaging, vol. 33, no. 3, pp. 708-721, 2020.
H
V. Kadaba, Ly, T., Noor, S., Chhut, S. V., Hinsch, N., Stauch, G., and Gollogly, J., A hybrid approach to telepathology in Cambodia., J Telemed Telecare, vol. 19, no. 8, pp. 475-8, 2013.
P. Garaizar, Cubillas, C. P., and Matute, H., A HTML5 open source tool to conduct studies based on Libet's clock paradigm., Sci Rep, vol. 6, p. 32689, 2016.
J. - R. Likofata Esanga, Viadro, C., McManus, L., Wesson, J., Matoko, N., Ngumbu, E., Gilroy, K. E., and Trudeau, D., How the introduction of a human resources information system helped the Democratic Republic of Congo to mobilise domestic resources for an improved health workforce., Health Policy Plan, vol. 32, no. suppl_3, pp. iii25-iii31, 2017.
E. C. McKiernan, Bourne, P. E., C Brown, T., Buck, S., Kenall, A., Lin, J., McDougall, D., Nosek, B. A., Ram, K., Soderberg, C. K., Spies, J. R., Thaney, K., Updegrove, A., Woo, K. H., and Yarkoni, T., How open science helps researchers succeed., Elife, vol. 5, 2016.
E. D. Perakslis, Van Dam, J., and Szalma, S., How informatics can potentiate precompetitive open-source collaboration to jump-start drug discovery and development., Clin Pharmacol Ther, vol. 87, no. 5, pp. 614-6, 2010.
C. Hoi Ka Wu, Luk, S. M. H., Holder, R. L., Rodrigues, Z., Ahmed, F., and Murdoch, I., How do paper and electronic records compare for completeness? A three centre study., Eye (Lond), vol. 32, no. 7, pp. 1232-1236, 2018.
R. A. Casanova-Perez, Padilla-Huamantinco, P. G., De Freitas-Vidal, C. I., and Choi, Y. K., Home Behavior Monitoring Module in OpenEMR: Use of home sensors as Patient-Generated Data (PGD) for elderly care., AMIA Annu Symp Proc, vol. 2017, pp. 2279-2283, 2017.
S. Wang, Pandis, I., Wu, C., He, S., Johnson, D., Emam, I., Guitton, F., and Guo, Y., High dimensional biological data retrieval optimization with NoSQL technology., BMC Genomics, vol. 15 Suppl 8, p. S3, 2014.
W. Kuchinke, Ohmann, C., Yang, Q., Salas, N., Lauritsen, J., Gueyffier, F., Leizorovicz, A., Schade-Brittinger, C., Wittenberg, M., Voko, Z., Gaynor, S., Cooney, M., Doran, P., Maggioni, A., Lorimer, A., Torres, F., McPherson, G., Charvill, J., Hellstrom, M., and Lejeune, S., Heterogeneity prevails: the state of clinical trial data management in Europe - results of a survey of ECRIN centres., Trials, vol. 11, no. 1, p. 79, 2010.
M. Baskaya, Yuksel, M., Erturkmen, G. Banu Lalec, Cunningham, M., and Cunningham, P., Health4Afrika - Implementing HL7 FHIR Based Interoperability., Stud Health Technol Inform, vol. 264, pp. 20-24, 2019.
L. Cavalini and Cook, T., Health Informatics: The Relevance of Open Source and Multilevel Modeling, in Open Source Systems: Grounding Research, vol. 365, S. Hissam, Russo, B., de Mendonça Neto, M., and Kon, F., Eds. Springer Boston, 2011, pp. 338-347.
A. Ledesma, Al-Musawi, M., and Nieminen, H., Health figures: an open source JavaScript library for health data visualization., BMC Med Inform Decis Mak, vol. 16, no. 1, p. 38, 2016.
J. G. Klann, McCoy, A. B., Wright, A., Wattanasin, N., Sittig, D. F., and Murphy, S. N., Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization., Interact J Med Res, vol. 2, no. 1, p. e11, 2013.
P. Uwambaye, Njunwa, K., Nuhu, A., Kumurenzi, A., Isyagi, M., Murererehe, J., and Ngarambe, D., Health care consumer’s perception of the {Electronic} {Medical} {Record} ({EMR}) system within a referral hospital in {Kigali}, {Rwanda}, Rwanda Journal, vol. 4, pp. 48–53–53, 2017.

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