Knowledge and perception of artificial intelligence among operating room staff in educational hospitals: a cross-sectional survey.

Authors

Farzaneh Nekuei Manesh, Zahra Eydizadeh, Mohammad Reza Sohrabi, Leila Akbari, Mina Jouzi, Farkhondeh Sameipoor

Published in

International journal of medical informatics. Volume 221. Pages 106656. Aug 14, 2026. Epub Aug 14, 2026.

Abstract

Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the readiness of healthcare professionals to understand, trust, and appropriately use AI-enabled systems. Evidence regarding AI knowledge among multidisciplinary operating room (OR) staff remains limited, particularly in low- and middle-income healthcare settings.
To assess AI-related knowledge and perceptions among OR personnel and examine demographic factors associated with workforce preparedness for AI implementation in clinical practice.
An analytical cross-sectional survey was conducted among 200 OR healthcare professionals, including nurses, OR technicians, and anesthesiology personnel, working in four educational hospitals affiliated with Isfahan University of Medical Sciences, Iran. Data were collected using a researcher-developed questionnaire, validated for content and construct validity, consisting of demographic characteristics, seven knowledge items, and twenty-five perception items. Because the data were not normally distributed, Mann-Whitney U, Kruskal-Wallis, and Spearman correlation tests were used for statistical analysis.
Participants demonstrated limited AI knowledge (mean score: 2.11 ± 0.76 out of 7; 30.1% of the maximum possible score), whereas perceptions toward AI were generally positive (mean score: 76.8 ± 14.5 out of 125). Knowledge scores differed significantly according to educational level (P < 0.001), employment status (P < 0.001), professional discipline (P = 0.026), work experience (P = 0.015), and gender (P = 0.036). Perception scores were significantly associated only with educational level (P = 0.010). Knowledge and perception showed a moderate positive correlation (Spearman's r = 0.421, P < 0.001), while age was weakly negatively correlated with knowledge (r =  - 0.156, P = 0.027).
Despite favorable attitudes toward AI, OR staff demonstrated substantial deficiencies in AI knowledge. Further research and targeted educational initiatives may be warranted to improve AI knowledge among perioperative healthcare professionals and support the safe integration of clinical informatics.

PMID:
42603424
Bibliographic data and abstract were imported from PubMed on 16 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.