This community innovation has been accepted at the 2025 DHIS2 Annual Conference
Strengthening Health Facility Sync via DHIS2-MFR
The DHIS2-MFR Interoperability initiative in Ethiopia addresses critical inefficiencies in health facility data synchronization between the Master Facility Registry (MFR) and the DHIS2 system. Traditionally, this process was manual, resulting in data inconsistencies, delays in updates, and increased administrative workload. To modernize this process, Ethiopia developed an automated solution integrating OpenHIM as a mediator and a custom-built Connector App for data validation. OpenHIM acts as a secure interface, facilitating seamless communication between MFR and DHIS2, while the Connector App enables data validation and error checking before synchronization. This ensures only accurate and validated data is transmitted to DHIS2, eliminating duplicates and erroneous records. A major milestone of this initiative was transitioning from manual synchronization to an automated workflow, ensuring real-time health facility updates across the country. This shift has significantly reduced update times, minimized human errors, and enhanced data accuracy, improving operational efficiency in health information management. The system is now capable of providing validated, consistent health facility data, empowering decision-makers and enabling more effective health service delivery. This project highlights the transformative potential of digital health innovations in resource-constrained settings, showcasing the ability to overcome long-standing data management challenges through automation and interoperability. Ethiopia’s success serves as a model for other countries seeking to integrate and synchronize health information systems, setting a precedent for scalable, sustainable solutions to health data management challenges globally.
Primary Author: Habib Bushira
Keywords:
DHIS2, DHIS2 Custom App, Master Facility Registry (MFR), interoperability, health information exchange, OpenHIM, data synchronization, health information management, digital health, automation, health systems integration, data validation, real-time updates, health facility data, Ethiopian health system, scalable solutions, resource-constrained settings, health data management, Connector App, data accuracy, decision-making, public health.
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