Patient Perspectives on Artificial Intelligence in Health Care: Focus Group Study for Diagnostic Communication and Tool Implementation
This study highlights the importance of incorporating patient perspectives in the design and implementation of AI tools in health care. Transparency, human oversight, clear communication, and data privacy are crucial for patient trust and acceptance of AI in diagnostic processes. These findings inform strategies for individual clinicians, health care organizations, and policy makers to ensure responsible and patient-centered AI deployment in health care.
Authors
- Kristen Miller (ORCID: https://orcid.org/0000-0002-8991-2342)
- Joshua Biro (ORCID: https://orcid.org/0000-0001-7362-4138)
- Helen Haskell (ORCID: https://orcid.org/0000-0003-2131-7907)
- Alberta Tran (ORCID: https://orcid.org/0000-0002-9091-7036)
- Adam Visconti (ORCID: https://orcid.org/0000-0001-6257-1691)
- Sadaf Kazi (ORCID: https://orcid.org/0000-0002-7189-6989)
- Laura Schubel (ORCID: https://orcid.org/0000-0001-5258-1407)
- Traber Davis Giardina
- Kelly Michelle Smith (ORCID: https://orcid.org/0000-0002-9483-5118)
- William Gallagher (ORCID: https://orcid.org/0009-0006-3659-9811)
- K D MacRae (ORCID: https://orcid.org/0009-0002-1126-9796)
- Garrett Foresman
Institutions
- Michael E. DeBakey VA Medical Center (US)
- Baylor College of Medicine (US)
- Georgetown University (US)
- University of Toronto (CA)
- Toronto East General Hospital (CA)
- MedStar Health (US)
Publication Details
- Journal
- Journal of Participatory Medicine
- Published
- 2025-06-02
- DOI
- https://doi.org/10.2196/69564
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93