Patient Participation in AI for Health Curriculum
The adoption of artificial intelligence (AI) in health care has outpaced education of the clinical workforce on responsible use of AI in patient care. Although many policy statements advocate safe, ethical, and trustworthy AI, guidance on the use of health AI has rarely included patient perspectives. This gap leaves out a valuable source of information and guidance about what responsible AI means to patients. In this viewpoint coauthored by patients, students, and faculty, we discuss a novel approach to integrating patient perspectives in undergraduate premedical education in the United States that aims to foster an inclusive and patient-centered future of AI in health care.
Authors
- A Young Park
- Kirsten Ostherr (ORCID: https://orcid.org/0000-0002-6425-9527)
- Andrea Downing (ORCID: https://orcid.org/0000-0001-8401-8686)
- Valencia Robinson
- W. L Huang
- Tom Punnen
- Bhavik Tadigotla
Institutions
- Baylor College of Medicine (US)
- Daytona State College (US)
- Eugene Research Institute (US)
- Rice University (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Journal of Participatory Medicine
- Published
- 2025-09-05
- DOI
- https://doi.org/10.2196/69942
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00