EVAH’s first request for proposals (RFP) is now open, supporting locally-led evaluations of AI-enabled decision support tools that are ready for real-world use and designed to assist frontline workers with clinical tasks—such as triage, diagnosis, or referral—within primary and community health care settings in Sub-Saharan Africa, South Asia, and Southeast Asia.
Application Deadline: 1 April 2026
Funding pathways
Researchers may apply for one of the following funding pathways:
– Pathway A: supports real-world evaluation of AI-enabled CDSTs that are early in deployment. The pathway focuses on how the tools perform in practice, including usability, workflow integration, adoption, and safety, and supports research that can inform future impact evaluations. (Up to USD $1,000,000)
– Pathway B: supports rigorous impact evaluations of AI-enabled CDSTs that are ready to be deployed at scale. This pathway focuses on measuring the effects of these tools on health outcomes and system performance at scale. (Up to USD $3,000,000)
Eligibility
Applicants that do not meet these eligibility requirements will not receive further consideration in the review process and will not receive funding. Please review these criteria carefully before preparing a proposal.
– Organization type: This initiative is open to nonprofit organizations, for-profit companies, international organizations, government agencies, academic institutions, or collaborations among these actors.
o Proposals should include partner(s) responsible for clinical implementation (e.g., Ministry of Health, public sector health facility, NGO), overall project management, and the evaluation.
o The team must demonstrate expertise in health systems research or impact evaluation.
– Legally recognized entity: Only individuals who are applying through a legally recognized corporate entity are eligible.
– Where the applicant operates: The lead applicant must be legally registered and operational in SSA, South Asia, or Southeast Asia, with the PI/Project Lead based in the region.
Further Information: https://www.povertyactionlab.org/initiative/evidence-ai-health-evah-rfp
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For more information, please contact
Ms. Panida Suwannatheerak and Ms. Mananchaya Pissaparn
Tel: 02 470 9654
Email: researchfollowup@kmutt.ac.th
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