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

IF 1.6 3区医学 Q2 NURSING

Nursing & Health Sciences Pub Date : 2025-03-01 DOI:10.1111/nhs.70059

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

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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.

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围手术期护士的人工智能素养水平：以 rkiye为例。

围手术期护士的人工智能（AI）经验对于有效的医疗服务至关重要。本研究旨在评估 rkiye围手术期护士的人工智能素养水平和相关特征。本横断面研究于2024年3月15日至4月15日进行，包括505名围手术期护士。使用“护士信息表”和“人工智能素养量表”在线收集数据。采用滚雪球抽样法对个体进行抽样。平均读写能力得分为44.35±5.88，为中等水平。与高识字率相关的关键因素包括男性、熟悉和使用人工智能应用程序、年轻、将人工智能视为减轻工作量的工具，以及使用信息技术工具。结果显示，尽管围手术期护士具有中等水平的人工智能素养，但他们对人工智能工具的使用很少。研究结果强调了人工智能集成专业发展的必要性，并将相关材料纳入护理教育计划。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nursing & Health Sciences 医学-护理

CiteScore

4.80

自引率

3.70%

发文量

审稿时长

6-12 weeks

期刊介绍： NHS has a multidisciplinary focus and broad scope and a particular focus on the translation of research into clinical practice, inter-disciplinary and multidisciplinary work, primary health care, health promotion, health education, management of communicable and non-communicable diseases, implementation of technological innovations and inclusive multicultural approaches to health services and care.