PILLARs
Built on CRVS, digital ID, and integrated health data systems, Rwanda’s NHIC turns continuous, government-led population data into intelligence for surveillance, forecasting, resource allocation, and AI use grounded in public systems rather than fragmented project data.
ABDM is India’s foundational layer for AI-ready public health. eSanjeevani, CoWIN, and emerging AI tools build on shared records, consent, registries, and reusable data flows, turning digital projects into infrastructure for care, vaccination intelligence, and planning
Rio’s CIE connects millions of health and city records into an integrated data environment, helping teams detect outbreaks, forecast respiratory illness, guide extreme heat response, and turn interoperable data systems into coordinated public action before communities are harmed.
Carried by digitized primary care, hospital, mortality, and violence data, ClarIA shows how AI can surface hidden risks for gender-based violence and suicide before harm escalates, using routine public health systems and linked care journeys as its foundation.