# Annual Conference on Health IT & Analytics 2021-2023 > **NIH AHRQ R13** · UNIV OF MARYLAND, COLLEGE PARK · 2021 · $50,000 ## Abstract Project Summary Driven by the continuing digitization of medical information, innovations in information technology and applications of artificial intelligence, and policy developments, the healthcare landscape is changing dramatically. New opportunities and challenges emerge daily regarding the design, implementation, management, use, and evaluation of Health IT and Analytics (HITA), and in particular, artificial intelligence (AI) methods, to support the mission of fostering a learning healthcare system, which promotes evidence-based improvements in healthcare quality, patient safety, whole-person care, affordability and access. These digital healthcare innovations represent significant and unprecedented translational research opportunities, which have the potential to influence practitioners, policymakers and consumers. As the use of AI in healthcare grows it is essential to solve issues surrounding the ethical, unbiased, and appropriate implementation and use of AI towards clinical, patient empowerment, and administrative knowledge needs. CHITA’s primary aim in the 2021-2023 grant period is to improve the use of evidence-based practices regarding effective and non-biased implementation of digital healthcare and AI tools. We will synthesize and disseminate implementation research and lessons learned of digital healthcare tools with an emphasis on the appropriate, ethical use of AI towards healthcare decision- making, quality whole-person care, and value-based transformation efforts. CHITA will provide a forum for disseminating and catalyzing cross-disciplinary cutting-edge research that links transdisciplinary research communities with policy and practitioners to curate and present user-focused research, exchange ideas, and learn about current policy issues. CHITA also aims to empower the next generation of health IT and analytics researchers through a variety of programming that empowers dozens of students and early career scholars every year, including via a doctoral consortium, presentation opportunities, and engagement with senior researchers, policymakers, patient advocates and practitioners. Entering its 12th installment, each year CHITA convenes over 120 participants representing researchers, policy professionals, patients and practitioners including scientists from approximately 40 universities who present their latest findings. 2021-2023 conference sessions will be tailored to critical AHRQ topics of interest and AHRQ digital health grantees will be encouraged to showcase their work. CHITA is positioned in a unique niche that is not addressed in the same depth by any of the larger health services research conferences. CHITA’s format supports intimate, rich, and detailed interaction and discussion that is often infeasible in large conferences. CHITA enables the development of human capital in a constructive setting. CHITA is exceptionally positioned to continue contributing to the nation’s journey towards a more effective and value-base... ## Key facts - **NIH application ID:** 10295507 - **Project number:** 1R13HS028541-01 - **Recipient organization:** UNIV OF MARYLAND, COLLEGE PARK - **Principal Investigator:** Ritu Agarwal - **Activity code:** R13 (R01, R21, SBIR, etc.) - **Funding institute:** AHRQ - **Fiscal year:** 2021 - **Award amount:** $50,000 - **Award type:** 1 - **Project period:** 2021-08-01 → 2024-07-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10295507 ## Citation > US National Institutes of Health, RePORTER application 10295507, Annual Conference on Health IT & Analytics 2021-2023 (1R13HS028541-01). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10295507. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*