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. Researchers may apply for one of the following pathways: Pathway A: Supports real-world evaluation of AI-enabled decision support tools 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; Pathway B: supports rigorous impact evaluations of AI-enabled tools 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.