Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI–Supported Patient-Centered Clinical Decision Support: Qualitative Study - Summary - MDSpire

Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI–Supported Patient-Centered Clinical Decision Support: Qualitative Study

  • By

  • Priyanka J Desai

  • Angela Dobes

  • Avantika S Shah

  • Jessica S Ancker

  • Lindsay Abdulhay

  • Sagarika Das

  • Caroline Peterson

  • CDSiC Trust and Patient-Centeredness Workgroup

  • Prashila Dullabh

  • July 14, 2026

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Objective:

To gather patient and caregiver perspectives on the use of generative AI in patient-centered clinical decision support (PC CDS) and generate a prioritized list of considerations for design and implementation.

Approach:
  • Study Design and Participant Selection: Conducted 6 qualitative small group discussions with 16 participants, including patient and caregiver advocates, to elicit perspectives on generative AI in PC CDS.
  • Discussion Guide Development: Developed a semistructured discussion guide to facilitate conversations around generative AI use cases in PC CDS, refined through cognitive debriefings.
Key Findings:
  • Patient and caregiver perspectives on generative AI in PC CDS are not well represented in existing literature.
  • There is a recognized need for recommendations driven by patients in the design and deployment of AI tools in healthcare.
Interpretation:

Incorporating patient and caregiver insights into the development of generative AI tools for PC CDS is essential.

Limitations:
  • The sample size was limited to 16 participants, which may not fully represent the broader patient and caregiver population.
  • The qualitative nature of the study may limit the generalizability of the findings.
Conclusion:

Integrating patient and caregiver perspectives in the design and implementation of generative AI in healthcare decision-making is necessary.

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