Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians’ assistants in Kansas: a cross-sectional survey | |
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Author | |
Abstract |
Objective: This survey aims to understand frontline healthcare professionals’ perceptions of artificial intelligence (AI) in healthcare and assess how AI familiarity influences these perceptions. Materials and Methods: We conducted a survey from February to March 2023 of physicians and physician assistants registered with the Kansas State Board of Healing Arts. Participants rated their perceptions toward AI-related domains and constructs on a 5-point Likert scale, with higher scores indicating stronger agreement. Two sub-groups were created for analysis to assess the impact of participants’ familiarity and experience with AI on the survey results. Results: From 532 respondents, key concerns were Perceived Communication Barriers (median¼4.0, IQR¼2.8-4.8), Unregulated Standards (median¼4.0, IQR¼3.6-4.8), and Liability Issues (median¼4.0, IQR¼3.5-4.8). Lower levels of agreement were noted for Trust in AI Mechanisms (median¼3.0, IQR¼2.2-3.4), Perceived Risks of AI (median¼3.2, IQR¼2.6-4.0), and Privacy Concerns (median¼3.3, IQR¼2.3-4.0). Positive correlations existed between Intention to use AI and Perceived Benefits (r¼0.825) and Trust in AI Mechanisms (r¼0.777). Perceived risk negatively correlated with Intention to Use AI (r ¼−0.718). There was no difference in perceptions between AI experienced and AI naïve subgroups. Discussion: The findings suggest that perceptions of benefits, trust, risks, communication barriers, regulation, and liability issues influence healthcare professionals’ intention to use AI, regardless of their AI familiarity. Conclusion: The study highlights key factors affecting AI adoption in healthcare from the frontline healthcare professionals’ perspective. These insights can guide strategies for successful AI implementation in healthcare. |
Year of Publication |
2024
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Journal |
JAMIA
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Volume |
7
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Issue |
4
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Number of Pages |
9
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Date Published |
12/2024
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Type of Article |
Journal Article
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ISSN Number |
2574-2531
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URL |
https://academic.oup.com/jamiaopen/article/doi/10.1093/jamiaopen/ooae100/7815411
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DOI |
10.1093/jamiaopen/ooae100
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