Robust health information systems are critical for effective decision-making, program planning, and service delivery. High-quality data – accurate, timely, and complete – enables health providers, policymakers, and local governments to monitor progress, identify gaps, and make informed decisions to improve maternal, newborn, and child health (MNCH) outcomes. However, challenges such as incomplete reporting, data fragmentation, and limited capacity for data analysis can hinder efforts to strengthen health systems.

Improving data quality requires investments in standardized data collection processes, training for health workers, and digital solutions that reduce errors and enhance real-time reporting. Equally important is ensuring that data is actively used at all levels of the health system, from frontline providers to national policymakers. Strengthening a culture of data utilization through regular data review meetings, feedback loops, and performance monitoring can drive evidence-based improvements in service delivery.

This section of the HSS toolkit provides practical guidance, tools, and best practices for enhancing data quality and fostering data-driven decision-making. By strengthening health information systems, local governments and implementing partners can improve accountability, optimize resource allocation, and ultimately enhance health outcomes at scale.