Utilizing open source medical systems to reach the next 33 million
summary
Argues that reaching the “next 33 million” Kenyans requires pragmatic deployments not promises, using openMRS (deployed in 42 countries and running 160,000 HIV patients in one program) plus mobile tools and data migration to fix linkage and retention. Describes painful realities: duplicate patient records, local naming and calendar systems, and costly OCR like Captricity that worked but is too expensive. Proposes mobile biometric ID on phones, lightweight front ends (Chromebooks/AngularJS), standards for concept dictionaries, and community-driven support rather than “free” illusions.
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chapters (10)
- 0:00Open source medical systems
- 7:39What is OpenMRS
- 12:59Building with OpenMRS
- 16:58Open source myths in healthcare
- 20:52Patient care linkage
- 26:08Patient ID challenges
- 31:29Digitizing paper records
- 37:30OpenMRS innovation
- 41:44OpenMRS adoption
- 46:01Deployment power and infrastructure
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