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. 2025 Mar;27(1):e70059.
doi: 10.1111/nhs.70059.

Artificial Intelligence Literacy Levels of Perioperative Nurses: The Case of Türkiye

Hilal Kahraman  1 , Seda Akutay  1 , Hatice Yüceler Kaçmaz  1 , Sultan Taşci  1
Affiliations

Artificial Intelligence Literacy Levels of Perioperative Nurses: The Case of Türkiye

Hilal Kahraman et al. Nurs Health Sci. 2025 Mar.

Abstract

Artificial intelligence (AI) experience among nurses in perioperative settings is crucial for effective healthcare delivery. This study aimed to assess AI literacy levels and associated characteristics among perioperative nurses in Türkiye. This cross-sectional study was conducted between March 15 and April 15, 2024, and included 505 perioperative nurses. Data were collected online using the "Nurse Information Form" and "AI Literacy Scale." Snowball sampling technique was used to enlist individuals. The mean literacy score was 44.35 ± 5.88, which means moderate proficiency. Key elements associated with high literacy levels included being male, familiarity with and use of AI applications, youth, seeing AI as a tool to alleviate workload, and using information technology tools. The results show that although perioperative nurses have a moderate level of AI literacy, their use of AI tools is minimal. The findings underline the need for professional development in AI integration and the inclusion of relevant materials in nursing education programs.

Keywords: artificial intelligence; artificial intelligence literacy; healthcare; perioperative care; perioperative nurses.

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Conflict of interest statement

The authors declare no conflicts of interest.

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References

    1. Abdullah, R. , and Fakieh B.. 2020. “Health Care Employees' Perceptions of the Use of Artificial Intelligence Applications: Survey Study.” Journal of Medical Internet Research 22, no. 5: 1–8. 10.2196/17620. - DOI - PMC - PubMed
    1. AI‐HLEG . 2019. “A Definition of AI: Main Capabilities and Disciplines. Definition Developed for the Purpose of the AI HLEG's Deliverables.” https://www.aepd.es/sites/default/files/2019‐12/ai‐definition.pdf.
    1. Akgerman, A. , Özdemir E. D., Kavaslar İ., and Güngör S.. 2022. “Yapay Zekâ ve Hemşirelik.” Sağlık Bilimlerinde Yapay Zeka Dergisi 2, no. 1: 21–27. 10.52309/jaihs.v2i1.36. - DOI
    1. Al Hadithy, Z. A. , Al Lawati A., Al‐Zadjali R., and Al Sinawi H.. 2023. “Knowledge, Attitudes, and Perceptions of Artificial Intelligence in Healthcare Among Medical Students at Sultan Qaboos University.” Cureus 15, no. 9: e44887. 10.7759/cureus.44887. - DOI - PMC - PubMed
    1. Alderden, J. G. 2023. “Artificial Intelligence and the Critical Care Nurse.” Critical Care Nurse 43, no. 5: 7–8. 10.3233/SHTI210726. - DOI - PubMed

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