The National Library of Medicine (NLM) and National Institute of Mental Health (NIMH) offer funding under the "Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)" program. This opportunity supports research advancing informatics and data science approaches to help individuals understand and improve their health. The initiative emphasizes the development of tools, systems, and platforms that leverage personal health data, including electronic health records (EHRs), wearables, and artificial intelligence/machine learning (AI/ML), to deliver actionable, scientifically validated insights tailored to individual needs.

Applicants are encouraged to address technical challenges, including integrating disparate data sources, ensuring data quality, safeguarding privacy, and mitigating potential biases in predictive models. Research should prioritize end-user engagement, leveraging mixed methods to develop solutions that are accessible, understandable, and actionable for diverse populations. Applications should propose innovative ways to combine biological, social, and environmental data with health information technologies to enhance personalized assessments. Emphasis is placed on generalizability and scalability to ensure broad applicability beyond niche groups.

Eligibility spans higher education institutions, nonprofits, for-profit organizations, and foreign entities. Both new and resubmission applications are allowed, with a focus on scientific rigor and community involvement. Projects must propose a clear research question and include studies to evaluate the feasibility and acceptability of developed tools or approaches in real-world settings. Applications are expected to include plans for open dissemination of methods, tools, and findings, ensuring their availability for further research and education.

Funding supports budgets up to $250,000 per year in direct costs, for a maximum project period of four years. Applications may include small-scale clinical trials as part of the evaluation process. Non-responsive applications include those that fail to address actionable insights for individuals or do not propose open-source dissemination of research products.

Submissions are due on February 5, June 5, and October 5 of each year through 2026. Comprehensive review criteria include the significance of the research question, scientific rigor, feasibility of the approach, and the expertise of the research team. Successful projects will align with NIH policies on data management, sharing, and compliance with applicable regulatory standards. Awardees are required to submit annual progress reports and comply with NIH's data-sharing policies, ensuring findings are accessible to both scientific and general communities.