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 proposals focused on the development, validation, feasibility, and effectiveness of innovative digital health interventions—such as mobile health tools—tailored for underserved populations in both the United States and low- and middle-income countries. The initiative prioritizes the use of emerging technologies, platforms, systems, and data analytics to tackle high-priority health challenges, with the goal of expanding the evidence base for digital health solutions and improving clinical and public health outcomes. A core requirement is the implementation of reciprocal innovation methodologies, which demand a bidirectional and iterative exchange of ideas, resources, and approaches between U.S. and international research teams to address shared health issues. This collaboration is intended to generate generalizable knowledge by leveraging unique data, environments, and populations across domestic and global settings, ensuring that the benefits of the research extend meaningfully to both U.S. and low- and middle-income country communities.
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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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