Key Information Influencing Patient Decision-Making About AI in Health Care: Survey Experiment Study
Patients value information about an AI device's performance, provider oversight, regulatory status, and added value during decision-making. Providing transparent, easily understandable information about these aspects is critical to support patient determinations of trust and acceptance of AI-enabled health care. Information elements' impact on patient trust and acceptance varies by patient characteristics, highlighting the need for a tailored approach to address the concerns of diverse patient groups about AI in health care.
Authors
- Dong Whi Yoo (ORCID: https://orcid.org/0000-0003-2738-1096)
- Austin M. Stroud (ORCID: https://orcid.org/0000-0002-8695-9786)
- Jennifer Miller (ORCID: https://orcid.org/0000-0002-3591-369X)
- Jennifer L. Ridgeway (ORCID: https://orcid.org/0000-0001-7658-6763)
- Xuan Zhu (ORCID: https://orcid.org/0000-0002-6675-2155)
- Maryam Mooghali (ORCID: https://orcid.org/0000-0001-9347-494X)
- Sarah A. Minteer
- Barbara Barry (ORCID: https://orcid.org/0000-0002-0755-6939)
Institutions
- Mayo Clinic (US)
- Yale University (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-08
- DOI
- https://doi.org/10.2196/75615
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00