Client:
Minstry of Health

Status:
Ongoing

Categories:
Health Information Systems

Address:
Ethiopia

HABTech Solutions is implementing the Enhanced Analytics and Data Utilization in Sub-National Units Project under the Global Fund’s Digital Health Impact Accelerator Strategic Initiative (DHIA SI) in collaboration with the Ministry of Health (MoH) and Regional Health Bureaus (RHBs). This initiative aims to strengthen data-driven decision-making and institutional analytical capacity, focusing particularly on HIV, TB, malaria, and RSSH programs across sub-national health systems in Ethiopia.

Through this project, HABTech Solutions provides comprehensive technical assistance designed to improve the use of real-time health data for planning, monitoring, and performance improvement. This initiative supports the Ministry of Health’s broader vision for a digitally enabled, data-informed health system by building digital analytics capacity and promoting the integration of interoperable systems. The project follows a phased approach—beginning with a baseline assessment and planning, followed by implementation—to ensure that the interventions are context-specific and responsive to local needs.

To achieve this initiative, HABTech delivers a wide range of capacity-strengthening activities, including training, mentorship, and peer-learning programs for sub-national health teams. The project also supports the development and deployment of customized analytical dashboards integrated within the national HIS infrastructure. These digital tools enable health managers and decision-makers to generate timely insights, triangulate data from multiple sources, and make informed decisions that enhance service delivery and resource allocation.

Importantly, the project is being implemented integrated manner with CBMP universities, leveraging their expertise and institutional networks to enhance local ownership, build sustainable analytical capacity, and promote evidence-based decision-making across regions.

Furthermore, HABTech fosters sustainability through the establishment of Communities of Practice (CoP) that facilitate continuous learning and collaboration among several stakeholders. By promoting institutional ownership and embedding skills within regional and district structures, the project ensures that improvements in data analytics and use are sustained beyond the project period.