System use
Assess how Uganda's eLMIS and Tanzania's TImR support routine immunization stock decisions.
A cross-country study of how digital tools support vaccine stock monitoring, data use, and readiness for responsible AI integration.
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health facilities planned across two countries
Karamoja, Uganda
Kilimanjaro, Tanzania
Uganda and Tanzania use different digital systems for immunization data and stock management. This study examines how those systems function in routine practice, how health workers use the data, and where gaps affect planning and stock availability.
The research compares health facilities in Karamoja and Kilimanjaro. It focuses on existing systems and the conditions that must be in place before health systems adopt AI-supported decision tools.
The formal research title is Cross-Country Evaluation of AI-Enabled Tools for Immunization Stock Monitoring and Data Use in Uganda and Tanzania.
Assess how Uganda's eLMIS and Tanzania's TImR support routine immunization stock decisions.
Examine stock visibility, planning, data consistency, and recent stockout experience at participating facilities.
Document the conditions that shape system use among health workers, managers, and policymakers.
Identify the infrastructure, data quality, governance, and workforce requirements for responsible AI integration.
The study uses the WHO Digital Health Profile and Maturity Assessment Toolkit to compare systems, workflows, and readiness across both countries.
Structured surveys assess infrastructure, staffing, system availability, routine use, and vaccine stock management.
Researchers observe how paper and digital tools are used during immunization and stock management work.
Interviews with health workers, managers, and policymakers examine barriers, training, trust, and governance.
Findings will support decisions on digital health investment, immunization stock management, and the responsible use of AI in health supply chains.
Fieldwork begins only after the applicable ethics, national, ministry, institutional, and district approvals are in place.
Participants provide written consent. Facility and interview data are de-identified and access is limited to the research team.
Neuravox works with health institutions, researchers, and funders on digital systems, health data, and responsible AI adoption.