Digital Health Technology and Reciprocal Innovation to Improve Clinical and Public Health Outcomes
- Funder
- National Institutes of Health
- Award amount
- Not specified
- Deadline
- February 11, 2027
- Eligible countries
- United States
Summary
Forecasted opportunity (not yet open for applications; expected to be posted around 2026-12-01; estimated application due date 2027-02-11). This initiative will support research on the development, validation, feasibility, and effectiveness of innovative digital health interventions or tools (including mobile health) specifically suited for underserved settings in the U.S. and globally. Research should utilize new or emerging technologies, platforms, systems, and/or analytics to address high priority health problems, expand the evidence base for the use of digital health technology to improve clinical and public health outcomes, and strengthen research collaborations between U.S. and low- and middle-income country (LMIC) researchers. Applications must include reciprocal innovation methodologies – bidirectional and iterative exchange of ideas, resources, and innovation approaches to address shared health challenges in the U.S. and a LMIC. Through this utilization of unique data, environments, and populations in domestic and international contexts, awards will maximize generalizable knowledge produced and optimize potential benefit to U.S. and LMIC populations.
Summary as listed on Grants.gov (opportunity 363049). Always read the full announcement for eligibility, limits and how to apply.
Read the full announcement on Grants.gov →What National Institutes of Health reviewers look for
- Importance of the research (significance and innovation), scored 1–9.
- Rigor and feasibility of the approach, scored 1–9. Preliminary data and alternative strategies carry much of this.
- Expertise and resources, rated sufficient or not, without a score.
- Overall impact: the likelihood the project will have a sustained, powerful influence on its field.
Read our guide: what funded applications do →
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