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Artificial Intelligence Anxiety and Patient Safety Attitudes Among Operating Room Professionals: A Descriptive
Pinar Ongun1, Burcak Sahin Koze2, Yasemin Altinbas3
1Department of Surgical Nursing, Faculty of Health Sciences, Balıkesir University, Balikesir 10010, Türkiye.
Healthcare (Basel, Switzerland)
|August 28, 2025
Summary
Artificial intelligence (AI) anxiety did not directly correlate with patient safety attitudes in operating room (OR) professionals. However, belief in AI
Area of Science:
- Healthcare technology adoption
- Surgical operating room innovation
- Medical artificial intelligence integration
Background:
- Artificial intelligence (AI) adoption in healthcare, especially in operating rooms (ORs), is increasing.
- Healthcare professionals may experience anxiety regarding AI due to job security, ethics, and reliability concerns.
- Understanding AI anxiety's impact on patient safety attitudes is crucial for successful implementation.
Purpose of the Study:
- To investigate the relationship between artificial intelligence (AI) anxiety and patient safety attitudes among operating room (OR) professionals.
- To identify factors associated with higher AI-related anxiety in surgical staff.
Main Methods:
- A descriptive, cross-sectional study was conducted with 155 operating room (OR) professionals in Turkey.
- Data were collected using demographic questionnaires, the Artificial Intelligence Anxiety Scale (AIAS), and the Safety Attitudes Questionnaire-Operating Room (SAQ-OR).
- Statistical analyses included t-tests, ANOVA, Pearson correlation, and multiple regression.
Main Results:
- The average AIAS score was 3.25 ± 0.8, and the average SAQ score was 43.2 ± 10.5.
- Higher AI anxiety was observed in males and those with postgraduate education.
- No significant correlation was found between AI anxiety and patient safety attitudes (r = -0.064, p > 0.05).
Conclusions:
- While AI anxiety did not directly impact patient safety attitudes, a belief in AI's potential correlated with increased openness to change.
- Findings highlight the need for targeted training and policy development to support the confident and safe integration of AI in surgical settings.
- Further research may explore nuanced relationships between AI perception and clinical practice.
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