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Patient perspectives about deployment of artificial intelligence decision support tools in a safety-net healthcare
Nicholas Phelps1, Patrick Vossler2,3,4, Avni Kothari1,3,4
1Department of Medicine, University of California San Francisco, San Francisco, CA 94122, United States.
Objectives:
To assess patient awareness, trust, perceived benefits, and risks of artificial intelligence (AI) in clinical care within an urban safety-net health system.
Materials And Methods:
We surveyed 313 patients from November 2024 to January 2025 regarding AI awareness, trust in AI-assisted decision-making, and preferences for transparency and oversight. Quantitative analyses assessed associations between AI awareness and perceived benefit; qualitative analysis identified themes influencing trust.
Results:
While 84% were familiar with commercial AI, fewer than half recognized the use of AI in medical decision support. Greater AI awareness was associated with higher perceived benefit (all P < .001). Participants emphasized transparency (92%), clinician oversight (82%), and validation as critical to trust.
Discussion:
This study provides one of the first assessments of patient perspectives on AI within a safety-net healthcare setting. Patients view clinical AI favorably but demand transparency and clinician involvement.
Conclusions:
Patient education and engagement are essential for equitable, trustworthy AI deployment.
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