Evaluation of Nurses' Perceptions and Readiness for Artificial Intelligence Integration in Healthcare: A Cross-Sectional Study in Turkey.

IF 3.4 3区医学 Q1 NURSING

Journal of Advanced Nursing Pub Date : 2025-09-26 DOI:10.1111/jan.70256

Orkun Erkayıran,Rahime Aslan

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Abstract

AIM To determine the perceptions and readiness of nurses regarding the integration of artificial intelligence (AI) into healthcare services. DESIGN A descriptive cross-sectional study. METHODS Data were collected from 388 nurses across Turkey using an online questionnaire designed to gather sociodemographic information, perceptions (measured by attitudes) and readiness (assessed by AI knowledge and confidence) toward artificial intelligence. Statistical analyses, including independent t-tests and ANOVA, were used to examine group differences. The study adhered to ethical principles and followed the STROBE Statement guidelines for cross-sectional research. RESULTS Findings revealed that nurses' knowledge of AI in healthcare was generally limited, though many participants expressed optimism about its potential to improve efficiency, enhance patient care quality and alleviate nurse burnout. However, concerns about patient privacy and ethical challenges were identified as significant challenges to AI integration in healthcare settings. CONCLUSION The study underscores that while nurses recognise the potential benefits of AI, there is a significant need to address their limited knowledge and concerns regarding ethical and privacy issues. Educational initiatives and ethical frameworks are essential to facilitate AI's successful implementation in nursing practice. IMPACT This study emphasises the necessity of incorporating AI-related education into nursing curricula and highlights the importance of developing policies that mitigate ethical challenges, thereby preparing nurses for a future that integrates AI into patient-centred care. PATIENT OR PUBLIC CONTRIBUTION The study involved practicing nurses as participants to provide real-world insights into their perceptions and readiness for AI in healthcare, ensuring that findings reflect the practical implications of AI integration in clinical settings.

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评估护士的感知和准备人工智能整合在医疗保健：在土耳其的横断面研究。

目的：确定护士对将人工智能（AI）整合到医疗服务中的看法和准备情况。设计：描述性横断面研究。方法通过在线问卷收集土耳其388名护士的数据，旨在收集社会人口统计信息、对人工智能的看法（以态度衡量）和准备程度（以人工智能知识和信心评估）。统计分析，包括独立t检验和方差分析，用于检验组间差异。本研究遵循伦理原则，并遵循STROBE声明横断面研究指南。结果调查结果显示，护士对医疗保健中人工智能的了解普遍有限，尽管许多参与者对人工智能在提高效率、提高患者护理质量和减轻护士职业倦怠方面的潜力表示乐观。然而，对患者隐私和道德挑战的担忧被认为是人工智能在医疗保健环境中整合的重大挑战。该研究强调，尽管护士认识到人工智能的潜在好处，但仍有必要解决其有限的知识以及对道德和隐私问题的担忧。教育倡议和道德框架对于促进人工智能在护理实践中的成功实施至关重要。本研究强调了将人工智能相关教育纳入护理课程的必要性，并强调了制定减轻伦理挑战的政策的重要性，从而使护士为未来将人工智能纳入以患者为中心的护理做好准备。患者或公众的贡献该研究让执业护士作为参与者，提供他们对医疗保健中人工智能的看法和准备情况的真实见解，确保研究结果反映了人工智能在临床环境中整合的实际意义。

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来源期刊

Journal of Advanced Nursing 医学-护理

CiteScore

6.40

自引率

7.90%

发文量

369

审稿时长

3 months

期刊介绍： The Journal of Advanced Nursing (JAN) contributes to the advancement of evidence-based nursing, midwifery and healthcare by disseminating high quality research and scholarship of contemporary relevance and with potential to advance knowledge for practice, education, management or policy. All JAN papers are required to have a sound scientific, evidential, theoretical or philosophical base and to be critical, questioning and scholarly in approach. As an international journal, JAN promotes diversity of research and scholarship in terms of culture, paradigm and healthcare context. For JAN’s worldwide readership, authors are expected to make clear the wider international relevance of their work and to demonstrate sensitivity to cultural considerations and differences.