This graph represents implementation data provided by: AMPATH, APIN, Baobab Health Trust, BFGK Magankorhaz, CURE, UCSF, Haitian Health Foundation, ICAP, IHS Informatics, I-TECH | CHARESS, Jembi Health Systems, Management Development for Health, Maternal and Child Health Training Institute (Bangladesh), Measure Evaluation, Millenium Villages Project, Management Sciences for Health, Nuchange, Palladium, Partners in Health, Philippines Ministry of Health, PHIS3, Possible Health, Sri Lanka Post Graduate Institute for Health, Tajikistan Republican TB Centre, Samanvay, Satvix, Siem Reap Provincial Hospital of Cambodia, Socios En Salud Sucursal Peru, The Banyan, Thoughtworks, Tsungru Central Hospital, Uganda METS, Vecnacares, VHW Burundi, Vietnam Provincial AIDS Committee, Wuqu-Kawoq.
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1 technical writer
4 community writers
This information is primarily based on where contributors make their github code commits. Some organizations focus on local implementations. Others are focused on shared OpenMRS code. Still others are able to make significant contributions to both shared community code and local implementations. Here’s how we broke this down:
Upstream: Organizations that frequently make commits to primarily OpenMRS github repos and/or a github repo used by a squad or with contributors from more than one organization (e.g.: Google Analytics, iSantePlus/openmrs-module-labintegration, etc).
Upstream & local implementations: Organizations make commits to both OpenMRS github repos and to one or more OpenMRS distributions’ or implementations’ github repo.
Local distribution/implementation: The majority of an organizations’ commits are primarily made to a single OpenMRS distribution or implementation.
Don’t see your organization’s github repo? Submit your github information via our 2021 Implementer Data Survey
Want to know how you can make more upstream contributions? Contact us.