Top 39%
in this catalogue (246 scored practices)
Scores cluster high, so position within the catalogue is often more telling than the number alone.
Evidence of impact / measured public value2/3
125+ health posts digitised with >85% data quality, healthcare worker satisfaction 60%–80% and approximately 3 days/month returned from manual reporting are concrete operational metrics. Official MoH inauguration corroborates deployment at scale. However, all performance figures originate from the implementer (Sand Technologies); no independent academic evaluation of health-outcome improvements has been published for this April 2025 system.
Transparency, fairness & accountability2/3
Rwanda MoH published the Centre's six-layer data architecture and integration sources (DHIS2, eBuzima, eLMIS, WelTel, CRVS). Google's Open Buildings methodology is fully public. The HIC was unveiled at a high-profile international summit with ministerial participation. No algorithmic model cards, open-source code, or independent audit of the AI components have been released.
Transferability / demonstrated replication2/3
Sand Technologies has committed to extending the Rural Health Operating System to at least six African countries by end-2025 and 20+ by 2030. The Google Open Buildings dataset covers 1.8 billion buildings globally, making the geospatial planning component highly replicable. Full deployment requires significant partnership capacity, Starlink infrastructure, and local data integration.
Scalability beyond pilot2/3
Cloud-based, API-ready six-layer architecture aggregating national-level health systems (DHIS2, CRVS, EMRs, eLMIS) and satellite-derived building data at national scale. The 125 health-post deployment is an early-stage national rollout, with a target of 100,000 additional clinics by 2030 across Africa.
Governance, capability & sustainability1/3
Formally commissioned by and inaugurated by the Rwanda Ministry of Health at ministerial level, with participation of African Health Ministers. Partnership with Society for Family Health and Gates-affiliated partners. No public algorithmic impact assessment, independent oversight mechanism, or third-party audit of the AI systems has been identified.
Evidoria. Centro de Inteligência em Saúde do Ruanda — Plataforma de IA para vigilância epidemiológica em tempo real e planeamento de investimentos em saúde. Persistent ID: f108895e-ad71-4dc3-accc-880642594548.