Empowering health leaders, policymakers, and communities with data-driven tools for informed decision-making.
Decision Support Systems (DSS) are at the core of UWRA's innovation work. We design, develop, and deploy tools that help health system managers, policymakers, and community leaders make evidence-informed decisions.
Our DSS solutions integrate data from multiple sources — including health information systems, community feedback, and research — to provide actionable insights in real-time.
Good decisions require good data. We make sure the right data reaches the right people at the right time.
UWRA develops and deploys a range of DSS tailored to different levels of the health system.
Tools for health workers to improve diagnosis, treatment, and patient management using evidence-based protocols and real-time data.
Real-time dashboards for health facility managers and county health teams to monitor service delivery, supply chains, and performance indicators.
Data modeling and forecasting tools to support resource allocation, strategic planning, and policy formulation at national and county levels.
Real-time feedback and accountability tools that channel community voices into health system decision-making.
Geographic information systems to map health resources, disease patterns, and population needs for targeted interventions.
Machine learning models to forecast disease outbreaks, patient demand, and health system bottlenecks for proactive decision-making.
Currently deployed DSS tools that are strengthening health systems and community health across Kenya.
A comprehensive dashboard for county health managers to track maternal health indicators, immunization coverage, and NCD screening rates in real-time.
An SMS-based system that collects community feedback on health services, aggregates data, and provides dashboards for health facilities and county teams.
A modeling tool that helps county and national health teams allocate resources based on population needs, disease burden, and service utilization data.
A real-time system that tracks patient referrals across facilities, identifies bottlenecks, and provides analytics to improve referral efficiency.
We welcome collaborations with governments, health systems, technology partners, and researchers to co-design and deploy decision support tools.