Strong routine health data management system is a foundation for evidence decision making in health. Quality routine health data helps to monitor health system performance, improve health service utilization, expedite patient management, and facilitates proper resource planning and management at national and regional level. Countries in Africa are currently using several data management systems, technologies and platforms for data collection, storage, analysis, and use (1).

The use of digital health data management system has increased in the last decades in Africa (2). However, most countries are not using single data management system. Different platforms that have poor linkage for integration are being used for data collection with some being programme specific. Such fragmented approach of data collection and reporting is inefficient as it leads to duplication of efforts, waste of resources, and increasing risk of errors. This potentially can have an impact on the health data interpretation and recommendation. The use of different data management system by each country in Africa have also been a challenge as it limits data integration and interoperability at regional level.