Trends in Perception of Generative AI in Healthcare by US Adult Demographics and Political Identity

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ID: 316897
2026
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Abstract
Abstract Introduction Generative AI (genAI) is rapidly entering healthcare, but public comfort may vary in ways that could undermine equitable adoption. Methods Using two independent cross-sectional survey waves of US adults conducted in May 2023 (N=3,130) and November 2025 (N=3,088) on the Outbreaks Near Me participatory surveillance platform, we assessed changes in awareness of genAI and four comfort and perception measures. Results The percentage of respondents reporting they had heard "a lot" about genAI rose from 26.5 percent (95% CI: 24.5, 28.5) to 42.9 percent (95% CI: 40.6, 45.3), yet overall comfort with AI-led primary care and AI-led therapy changed minimally (−1.0 and −0.7 percentage points, respectively). Subgroup trends diverged sharply by political identity, age, and race. Notably, Republicans trended more favorably from 2023 to 2025 while Democrats declined (interaction odds ratios across the four measures ranging from 1.69 [95% CI: 1.19, 2.39] to 2.11 [95% CI: 1.54, 2.90]). Conclusion Emerging divides suggest receptivity to genAI in healthcare may become increasingly shaped by political identity rather than clinical evidence or personal experience, complicating equitable deployment.
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openalex_W7164180107 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Benjamin Rader, Autumn Gertz, Jonathan Cantor, Ryan K. McBain, John S. Brownstein
Journal Health Affairs Scholar
Year 2026
DOI
10.1093/haschl/qxag148
URL
https://doi.org/10.1093/haschl/qxag148
Keywords Keywords not found

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