
Artificial intelligence (AI)-supported patient-centered clinical decision support (PC CDS) tools offer powerful opportunities to improve care. However, concerns about data accuracy, transparency, and automation bias pose risks to patient safety and trust. This resource offers strategies for improving AI-supported PC CDS to ensure these tools support, rather than compromise, shared decision making and care quality.
About the Topic Highlight
This resource identifies common challenges and promising practices related to the use of AI-supported PC CDS as well as use cases of how AI is currently being used in PC CDS. This resource offers practical insights for stakeholders who wish to learn more about AI-enabled PC CDS in order to advance the responsible and patient-centered use of AI in healthcare. Topics include:
- What is AI?
- How is AI being used in PC CDS?
- Challenges associated with AI-supported PC CDS
- Promising practices to improve AI-supported PC CDS
The topic highlight includes references to the following CDSiC reports:
- Patient and Caregiver Perspectives on Generative Artificial Intelligence in Patient-Centered Clinical Decision Support
- Landscape Assessment on the Use of Artificial Intelligence To Scale PC CDS
- Quartz App to Support Medication Adherence: Usability and Feasibility Assessment
- PAIGE Chatbot for Patient-Clinician Communication: Usability and Utility Assessment
How to Use This Topic Highlight
Implementers, developers, patient advocates, and clinical leaders seeking to learn more about AI-supported PC CDS can use this resource to inform decisions that enhance patient-centered care and minimize unintended harm.
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.