Rwanda's Ministry of Health built an AI Health Operating System connecting EMRs, DHIS2 and logistics data. The Health Intelligence Centre (launched April 2025) predicts outbreaks 3 months ahead; 125+ health posts digitised; data quality >85%; worker satisfaction rose 60%→80%.
125 posts
Rural health posts digitised (as of April 2025)
85 % (minimum)
Data quality (completeness, timeliness, accuracy) (as of April 2025)
Healthcare worker satisfaction, after Health Intelligence Centre (as of April 2025)
3 days/month
Clinical staff time saved per month from reduced manual reporting
3 months
Outbreak prediction lead time
95 minutes
Average time to reach a healthcare facility (2010 baseline) (2010)
47 minutes
Average time to reach a healthcare facility (2020) (2020)
30 minutes
Target average time to reach a healthcare facility (target)
Details
Maturity
Scaling
Promoter
Ministry of Health, Rwanda
Period
2022–present
Keywords
digital health, disease surveillance, geospatial AI, health data systems, rural primary care, sub-Saharan Africa
Context
Rwanda's Ministry of Health, working with technology partner Sand Technologies and implementation partner Society for Family Health, has built a multi-layered digital health infrastructure across the country's predominantly rural population. At its core is the Rural Health Operating System (RHOS), an AI-powered platform that connects previously fragmented data from electronic medical records (eBuzima, cEMR), the logistics system (eLMIS), disease surveillance (DHIS2), population health tracking (WelTel) and civil registration (CRVS) into a single, actionable view. More than 125 rural health posts have been digitised with electronic medical records, Starlink satellite connectivity and solar power. The programme has run since 2022 and remains ongoing.
Objectives
The programme aims to give Rwanda's health system real-time, unified visibility into disease patterns, service delivery and population health across a largely rural country. A central objective is to detect and anticipate disease outbreaks earlier, with predictive tools designed to flag outbreaks up to three months in advance. A complementary aim, pursued through the Healthcare Investment Planning Tool, is to help planners identify healthcare deserts and optimal clinic locations, working toward a national goal of all citizens living within 30 minutes of a healthcare facility.
Activities
Implementation activities included digitising more than 125 rural health posts with electronic medical records, satellite internet and solar power, and integrating multiple existing national data systems into the unified RHOS platform. The Health Intelligence Centre (HIC) was formally inaugurated by Health Minister Dr. Sabin Nsanzimana on 3 April 2025 at the Global AI Summit for Africa, serving as the national platform for real-time data collection, processing and analysis. A Healthcare Investment Planning Tool was also built on Google's Open Buildings satellite-imagery dataset to support facility-location planning.
Results
Data quality across the connected systems has exceeded 85% on completeness, timeliness and accuracy, and healthcare worker satisfaction rose from 60% to 80%. Reduced manual reporting has freed clinical staff approximately three days per month. The Health Intelligence Centre has already been used to identify drivers of maternal mortality, target HIV prevention resources, screen household contacts of TB patients at scale, and maintain mpox outbreak surveillance. The Healthcare Investment Planning Tool has reduced facility-location planning cycles from weeks of field surveys to minutes, supporting Rwanda's goal of reducing average travel time to a healthcare facility from 95 minutes in 2010 and 47 minutes in 2020 toward a 30-minute target.
Conclusions
Sand Technologies plans to extend the Rural Health Operating System model to at least six additional African countries by the end of 2025 and to more than twenty by 2030. However, all performance figures reported to date originate from the implementer and the Ministry of Health, and no independent academic evaluation of health-outcome improvements has yet been published for this system, which launched in April 2025.
Implementation
Indicative cost
High (€500k–€5M)
Time to results
Long (> 3 years)
Staffing & skills
Rwanda Ministry of Health as programme owner and national policy authority, with ministerial-level leadership (inauguration led by the Minister of Health), Sand Technologies as technology/AI implementation partner providing the Rural Health Operating System platform, Society for Family Health as an implementation partner supporting rollout, Frontline health workers at digitised rural health posts using the EMR and reporting tools
Conditions for success
Reliable connectivity at rural health posts, provided via Starlink satellite internet
Power availability at rural sites, provided via solar installations
Interoperability across existing national data systems (eBuzima/cEMR, eLMIS, DHIS2, WelTel, CRVS) to enable a unified data layer
High-level government sponsorship and cross-ministerial coordination to sustain a national rollout
Where it fits
Governance type
national government-led, with private-sector technology partner
Scale
national (125+ rural health posts, expanding)
Income level
low-income country
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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