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<p>Safety net health care facilities care for underserved and/or uninsured populations. Artificial intelligence (AI) can change the health care landscape and has been understudied in the safety net health care setting. Our study aimed to explore the perceptions towards AI in health care among patients, health care professionals (HCPs) (e.g., physicians, non-physician providers), and clinical support staff (CSS) at federally qualified health centers in central Texas. This mixed-methods approach employed both surveys and semi-structured interviews in either Spanish or English. HCPs and CSS had significantly higher perceptions of the safety of AI use [<i>t</i>(149.93) = –2.09, <i>p</i> = 0.038] compared to patients. Additionally, HCPs and CSS who reported being familiar with AI (<i>M</i> = 3.78, <i>SD</i> = 0.90) had more favorable AI attitudes compared to those who were not familiar (<i>M</i> = 3.12, <i>SD</i> = 1.08). The most prominent interview theme among all segments was AI benefits, but patients exhibited literacy gaps and greater frequency of concerns. Overall, patients expressed lower perceptions of the safety of AI than HCPs and CSS, highlighting a potential gap in trust. All segments reported the importance of retaining humanity in health care.</p>

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Perceptions of artificial intelligence in health care among safety net patients, health care professionals, and clinical support staff

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月21日

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  • Adam Cardenas,
  • Mir Rabby,
  • Ashley Koszarek,
  • Karen Jimenez,
  • Arely Ibarra,
  • Adewole Adamson,
  • Lia E. Gracey

摘要

Safety net health care facilities care for underserved and/or uninsured populations. Artificial intelligence (AI) can change the health care landscape and has been understudied in the safety net health care setting. Our study aimed to explore the perceptions towards AI in health care among patients, health care professionals (HCPs) (e.g., physicians, non-physician providers), and clinical support staff (CSS) at federally qualified health centers in central Texas. This mixed-methods approach employed both surveys and semi-structured interviews in either Spanish or English. HCPs and CSS had significantly higher perceptions of the safety of AI use [t(149.93) = –2.09, p = 0.038] compared to patients. Additionally, HCPs and CSS who reported being familiar with AI (M = 3.78, SD = 0.90) had more favorable AI attitudes compared to those who were not familiar (M = 3.12, SD = 1.08). The most prominent interview theme among all segments was AI benefits, but patients exhibited literacy gaps and greater frequency of concerns. Overall, patients expressed lower perceptions of the safety of AI than HCPs and CSS, highlighting a potential gap in trust. All segments reported the importance of retaining humanity in health care.