Programs & Innovations

Health System Strengthening
  • Reproductive, Maternal, Newborn, Child and Adolescents Health (RMNCAH+N): Enhances the use of disaggregated data to inform policies, monitor service gaps, and improve outcomes in reproductive, maternal, newborn, child, and adolescent health.
  • Health Information Systems Analytics: Strengthens routine health information systems through advanced analytics, real-time dashboards, and institutionalized data use practices.
  • Monitoring and performance: Develops real-time dashboards to monitor performance and data quality across over health facilities.
  • Evidence Generation and Translation: Conduct in-depth analysis of diverse data sources, triangulate and synthesize evidence, produce policy briefs on priority health topics to support data-informed planning and decision-making.
  • Evidence Generation Platform
    • Multi-source data integration: build platforms to leverage routine HIS, surveys, CRVS, facility audits, geospatial, and administrative data.
    • Triangulation framework: develop standard protocols to synthesize and validate data from different sources.
    • Policy-relevant analysis pipelines: generate rapid analytics aligned with sector priorities such as RMNCAH, mortality, PHEM, nutrition, education, etc.).
  • National and Subnational Evidence Hub
  • Living Library of briefs and reports: maintain a searchable repository of data syntheses, modeling outputs, and policy briefs.
  • Evidence appraisal toolkit: institutionalize tools for evaluating the strength and applicability of evidence.
  • Rapid response analysis cell: provide timely data reviews for urgent policy or outbreak questions.
  • Analytical Capacity Building
  • Tiered Training Programs:
    • Basic Level: For planners and program officers – data interpretation, visualization, and storytelling.
    • Intermediate Level: For M&E and technical staff – advanced Excel, Power BI, Stata, R.
    • Advanced Level: For analysts and researchers – modeling, machine learning, causal inference.
  • MOOCs and CPD Accreditation: Partner with universities to deliver flexible, credit-bearing modules.
  • Fellowship Program: Time-bound placements for junior analysts to work within government and academic institutions on real-world challenges.
  • Feedback loop systems, real-time dashboards, AI-assisted data review tools.
  • Public health emergency & surveillance innovation
  • E-Learning for data literacy platforms – MOOCs and CPD-accredited content to build national data literacy at scale.
  • AI & digital public goods for data systems
    • Local AI co-development: build context-trained models with universities and local developers.
    • Adaptive analytics engines: develop tools that learn from past data patterns to inform near real-time decisions.
  • Applications of cutting-edge approach in education, nutrition, WASH, and public health emergency data.
  • Monitor disparities by gender, wealth, geography, and vulnerability status.
  • Multi-sectoral data fusion – combine health, education, nutrition, and socio-economic data for holistic programming.
  • Digital mapping of hard-to-reach communities.
  • Piloting, sandbox projects, and adaptive solutions.
  • Solicit, test, and scale ideas.
  • Partner with academic institutions to co-design, test, and scale innovations.
  • Technical support for early-stage solutions focused on digital health and data transformation.
  • Engage startups, telecoms, and fintech to power health innovations.