OpenMRS

OpenMRS
Name	OpenMRS
Developer	Partners In Health, World Health Organization, US Centers for Disease Control and Prevention, Johns Hopkins University, Kenya Ministry of Health, Uganda Ministry of Health
Released	2004
Programming language	Java (programming language), Spring Framework
Operating system	Linux, Windows, macOS
Genre	Electronic health record system
License	Mozilla Public License

OpenMRS is an open-source electronic medical record platform designed for resource-constrained healthcare settings. It originated from collaborations among global health practitioners, academic institutions, and non-governmental organizations to provide adaptable clinical information systems for low- and middle-income countries. The project emphasizes modularity, data standards, and community governance to support public health programs, research initiatives, and national health information systems.

History

OpenMRS began in 2004 through partnerships that included Partners In Health and World Bank-affiliated initiatives, with technical contributions from Brigham and Women’s Hospital and academic groups such as Harvard Medical School and Columbia University. Early adopters included ministries such as the Kenya Ministry of Health and Rwanda Biomedical Center, and implementation partners like IntraHealth International and Clinton Health Access Initiative helped scale deployments. Funding and strategic support have come from agencies including the US Centers for Disease Control and Prevention, United States Agency for International Development, and foundations like the Bill & Melinda Gates Foundation. The project evolved through community governance milestones, partnerships with research institutions such as Johns Hopkins University and University of Washington, and collaborations with private sector contributors like Google engineering teams and Microsoft technical advisors.

Architecture and Components

The platform uses a modular, service-oriented architecture based on Java (programming language) and the Spring Framework. Core components include a clinical data model informed by standards from World Health Organization terminologies, an authorization layer integrating roles and privileges used by ministries like the Uganda Ministry of Health, and a web-based user interface built on technologies influenced by AngularJS and React (JavaScript library). Persistence is commonly handled by relational databases such as PostgreSQL and MySQL, while search and indexing can leverage Elasticsearch. Integration adapters and modules enable interoperability with health information exchanges like OpenHIE and messaging gateways that support protocols used by Twilio and Mirth Connect. Deployment automation and containerization frequently use Docker (software) and orchestration with Kubernetes, often hosted on cloud platforms such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure.

Core Features and Functionality

The system provides patient registration, encounter capture, observations, orders, and medical record summaries that support workflows used by clinics referenced in reports from World Health Organization country offices. Terminology and concept management integrates controlled vocabularies like SNOMED CT, LOINC, and ICD-10 to enable clinical coding used by surveillance programs led by US Centers for Disease Control and Prevention teams. Decision support and clinical decision rules borrow models from implementations with partners such as Partners In Health and academic groups at Columbia University. Reporting and analytics features enable routine health indicators for programs run by agencies like UNICEF and research carried out at Harvard University. Security, authentication, and audit trails align with privacy expectations influenced by regulations such as Health Insurance Portability and Accountability Act and national policies of ministries including the Kenya Ministry of Health.

Implementations and Use Cases

Large-scale deployments have been used for HIV and tuberculosis programs overseen by organizations such as Clinton Health Access Initiative and Médecins Sans Frontières, maternal and child health initiatives coordinated with UNICEF and World Health Organization country teams, and national electronic medical record rollouts supported by ministries like the Rwanda Biomedical Center. Research applications involve collaborations with universities such as Johns Hopkins University, University of Cape Town, and Makerere University for cohort studies, clinical trials, and program evaluation. Emergency response and outbreak surveillance incorporated OpenMRS-based systems in coordination with US Centers for Disease Control and Prevention field teams and World Health Organization emergency operations. Non-governmental implementers include IntraHealth International, VillageReach, and private consultancies that adapt modules for vaccination campaigns run by Gavi, the Vaccine Alliance.

Governance and Community

Governance is community-driven with stewardship from a global community of contributors including implementers, developers, clinicians, and ministries such as the Kenya Ministry of Health and Uganda Ministry of Health. The project coordinates through working groups and governance bodies influenced by models used by organizations like Apache Software Foundation and Linux Foundation for open-source stewardship. Major contributors have included academic institutions like Harvard Medical School, Columbia University, and Johns Hopkins University, international agencies such as World Health Organization and US Centers for Disease Control and Prevention, and funders like the Bill & Melinda Gates Foundation. Conferences, code sprints, and summits bring together participants from universities such as University of Washington and Makerere University as well as implementers from Partners In Health and Clinton Health Access Initiative.

Integrations and Interoperability

Interoperability is enabled through standards and middleware connecting to national health information infrastructures like OpenHIE and messaging standards such as HL7 and FHIR. Integration projects have linked laboratory systems like OpenELIS and LabKey Server and pharmacy systems used by partners like MSF logistics teams. Health information exchange connections include collaborations with national registries, immunization registries supported by Gavi, the Vaccine Alliance, and surveillance feeds shared with World Health Organization platforms. Technical integration patterns employ middleware such as Mirth Connect and APIs compatible with standards promoted by Health Level Seven International and cloud services from Amazon Web Services and Google Cloud Platform.

Category:Health information technology