Digital Health Technology and Reciprocal Innovation to Improve Clinical and Public Health Outcomes
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The National Institutes of Health, under the Department of Health and Human Services, is seeking research focused on the development, validation, and effectiveness of innovative digital health interventions and mobile health tools tailored for underserved settings both in the United States and globally. The initiative aims to leverage emerging technologies and analytics to address high priority health problems and improve clinical and public health outcomes. A central requirement is the use of reciprocal innovation methodologies, ensuring a bidirectional and iterative exchange of resources and ideas between U.S. and low- and middle-income country researchers. By utilizing diverse data and populations across domestic and international contexts, the program intends to maximize generalizable knowledge and optimize health benefits for both U.S. and LMIC populations. This forecast, associated with NAICS code 541715, emphasizes the strengthening of international research collaborations to expand the evidence base for digital health technology. Interested parties can contact the FIC Digital Health Research Program for further information.
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Not specifiedSet-Aside
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Full Description
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.
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