Artificial Intelligence-Supported Patient-Centered Clinical Decision Support: A Summary of Considerations

Sofia Ryan; Krysta Heaney-Huls; Kensaku Kawamoto; David Lobach; Priyanka J. Desai; CDSiC Implementation, Adoption, and Scaling Workgroup; Prashila M. Dullabh; Deborah Collyar; Supriya Doshi; Stephen Downs; JaMor Hairston; Chris Harle; Scott Link; Dave Little; Steve Miller

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Artificial Intelligence-Supported Patient-Centered Clinical Decision Support: A Summary of Considerations

Sofia Ryan, MSPH, Krysta Heaney-Huls, MPH, Kensaku Kawamoto, MD, PhD, MHS, FACMI, FAMIA, David Lobach, MD, PhD, MS, FACMI, Priyanka J. Desai, PhD, MSPH; CDSiC Implementation, Adoption, and Scaling Workgroup; and Prashila M. Dullabh, MD, FAMIA. WORKGROUP CONTRUBUTORS: Deborah Collyar, Supriya Doshi, MPH, MBA, Stephen Downs, MD, JaMor Hairston, MSHI, MS, Chris Harle, PhD, Scott Link, Dave Little, MD, MS, and Steve Miller, MD.

Rockville (MD): Agency for Healthcare Research and Quality (US); 2025 Jun.

Artificial intelligence (AI) has the potential to improve patient care when used appropriately in patient-centered clinical decision support (PC CDS). However, patients and their care teams need to be aware of how AI is used in PC CDS and the challenges associated with its use. This resource provides approaches to addressing these challenges, which stakeholders can apply to develop, use, and understand AI-supported PC CDS.

This project was funded under contract number 75Q80120D00018 from the Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services (HHS). The opinions expressed in this document are those of the authors and do not reflect the official position of AHRQ or HHS.

Suggested citation:

Ryan S; Heaney-Huls K; Kawamoto K; Lobach D; Desai PJ; CDSiC Implementation, Adoption, and Scaling Workgroup; and Dullabh PM. Artificial Intelligence-Supported Patient-Centered Clinical Decision Support: A Summary of Considerations. Prepared under Contract No. 75Q80120D00018. AHRQ Publication No. 25-0057. Rockville, MD: Agency for Healthcare Research and Quality; June 2025.

This document is in the public domain and may be used and reprinted without permission in the United States unless materials are clearly noted as copyrighted in the document. No one may reproduce copyrighted materials without the permission of the copyright holders. Users outside the United States must get permission from AHRQ to reprint or translate this product. Anyone wanting to reproduce this product for sale must contact AHRQ for permission. Citation of the source is appreciated.

Bookshelf ID: NBK618175PMID: 40991751

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Ryan S, Heaney-Huls K, Kawamoto K, et al.; CDSiC Implementation, Adoption, and Scaling Workgroup. Artificial Intelligence-Supported Patient-Centered Clinical Decision Support: A Summary of Considerations [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2025 Jun.
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