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手术室专业人员的人工智能焦虑与患者安全态度:一项描述性横断面研究。

Artificial Intelligence Anxiety and Patient Safety Attitudes Among Operating Room Professionals: A Descriptive Cross-Sectional Study.

作者信息

Ongun Pinar, Sahin Koze Burcak, Altinbas Yasemin

机构信息

Department of Surgical Nursing, Faculty of Health Sciences, Balıkesir University, Balikesir 10010, Türkiye.

Department of Surgical Nursing, Faculty of Nursing, Ege University, Izmir 35100, Türkiye.

出版信息

Healthcare (Basel). 2025 Aug 16;13(16):2021. doi: 10.3390/healthcare13162021.

DOI:10.3390/healthcare13162021
PMID:40868638
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12385238/
Abstract

BACKGROUND/OBJECTIVES: The adoption of artificial intelligence (AI) in healthcare, particularly in high-stakes environments such as operating rooms (ORs), is expanding rapidly. While AI has the potential to enhance patient safety and clinical efficiency, it may also trigger anxiety among healthcare professionals due to uncertainties around job displacement, ethical concerns, and system reliability. This study aimed to examine the relationship between AI-related anxiety and patient safety attitudes among OR professionals.

METHODS

A descriptive, cross-sectional research design was employed. The sample included 155 OR professionals from a university and a city hospital in Turkey. Data were collected using a demographic questionnaire, the Artificial Intelligence Anxiety Scale (AIAS), and the Safety Attitudes Questionnaire-Operating Room version (SAQ-OR). Statistical analyses included t-tests, ANOVA, Pearson correlation, and multiple regression.

RESULTS

The mean AIAS score was 3.25 ± 0.8, and the mean SAQ score was 43.2 ± 10.5. Higher AI anxiety was reported by males and those with postgraduate education. Participants who believed AI could improve patient safety scored significantly higher on AIAS subscales related to learning, job change, and AI configuration. No significant correlation was found between AI anxiety and safety attitudes (r = -0.064, > 0.05).

CONCLUSIONS

Although no direct association was found between AI anxiety and patient safety attitudes, belief in AI's potential was linked to greater openness to change. These findings suggest a need for targeted training and policy support to promote safe and confident AI adoption in surgical practice.

摘要

背景/目的:人工智能(AI)在医疗保健领域的应用,尤其是在手术室等高风险环境中的应用正在迅速扩展。虽然人工智能有提高患者安全和临床效率的潜力,但由于工作岗位替代的不确定性、伦理问题和系统可靠性等因素,它也可能引发医疗保健专业人员的焦虑。本研究旨在探讨手术室专业人员中与人工智能相关的焦虑与患者安全态度之间的关系。

方法

采用描述性横断面研究设计。样本包括来自土耳其一所大学和一家城市医院的155名手术室专业人员。使用人口统计学问卷、人工智能焦虑量表(AIAS)和手术室版安全态度问卷(SAQ-OR)收集数据。统计分析包括t检验、方差分析、Pearson相关性分析和多元回归分析。

结果

AIAS平均得分为3.25±0.8,SAQ平均得分为43.2±10.5。男性和具有研究生学历的人员报告的人工智能焦虑程度较高。认为人工智能可以提高患者安全的参与者在与学习、工作变化和人工智能配置相关的AIAS子量表上得分显著更高。未发现人工智能焦虑与安全态度之间存在显著相关性(r = -0.064,P>0.05)。

结论

虽然未发现人工智能焦虑与患者安全态度之间存在直接关联,但对人工智能潜力的信念与对变革的更大开放性相关。这些发现表明需要有针对性的培训和政策支持,以促进在外科手术实践中安全、自信地采用人工智能。

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