Batran Ahmad, Ayed Ahmad, Aqtam Ibrahim, Al-Amer Rasmieh, Othman Elham H, Ejheisheh Moath Abu, Al Daamsa Haneen Nasser, Alkhatib Sanaa, Farajallah Mosaab
Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.
Faculty of Nursing, Arab American University, Jenin, Palestine.
SAGE Open Nurs. 2025 Sep 3;11:23779608251376177. doi: 10.1177/23779608251376177. eCollection 2025 Jan-Dec.
The integration of artificial intelligence (AI) into healthcare is advancing rapidly, yet little is known about how ICU nurses perceive this shift, particularly in low-resource settings.
This study aimed to examine ICU nurses' perceived concerns regarding AI adoption, focusing on awareness, prior experience, and levels of worry related to AI integration.
A cross-sectional survey was conducted among 235 ICU nurses from nine hospitals in the West Bank. Data were collected using the Worries of Applying Artificial Intelligence in Healthcare Questionnaire (WAAI-HCQ). Descriptive statistics and regression analyses were performed using SPSS.
Nurses demonstrated moderate AI awareness (M = 2.6, SD = 0.5) and limited prior experience (mean = 2.3, SD = 0.5). The overall worry regarding AI was moderate (M = 3.2, SD = 0.9), with the greatest concerns centered on its impact on healthcare providers (M = 3.3, SD = 1.0) and the least on regulatory and ethical issues (M = 2.9, SD = 0.7). Regression analysis revealed that AI awareness significantly predicted higher worry levels (B = 2.007, < .001), while prior experience with AI predicted reduced worry (B = -0.952, < .001). The findings suggest that greater AI awareness without practical experience may lead to increased apprehension, while hands-on exposure reduces anxiety and builds confidence.
While ICU nurses recognized the potential benefits of AI, concerns about job displacement, depersonalization of care, and workflow disruption were prevalent. These findings underscore the need for targeted AI education, practical training, and supportive policies that address ethical and workforce-related implications. Context-specific strategies are essential to enhance nurses' readiness and confidence in adopting AI technologies in critical care settings.
人工智能（AI）在医疗保健领域的整合正在迅速推进，但对于重症监护病房（ICU）护士如何看待这一转变，尤其是在资源匮乏的环境中，人们了解甚少。
本研究旨在调查ICU护士对采用AI的感知担忧，重点关注与AI整合相关的认知、既往经验和担忧程度。
对来自约旦河西岸九家医院的235名ICU护士进行了横断面调查。使用《医疗保健领域应用人工智能的担忧问卷》（WAAI-HCQ）收集数据。使用SPSS进行描述性统计和回归分析。
护士对AI的认知程度中等（M = 2.6，标准差 = 0.5），既往经验有限（均值 = 2.3，标准差 = 0.5）。对AI的总体担忧程度中等（M = 3.2，标准差 = 0.9），最大担忧集中在其对医疗保健提供者的影响（M = 3.3，标准差 = 1.0），对监管和伦理问题的担忧最小（M = 2.9，标准差 = 0.7）。回归分析显示，AI认知显著预测更高的担忧水平（B = 2.007，P <.001），而AI既往经验预测担忧程度降低（B = -0.952，P <.001）。研究结果表明，没有实践经验的更高AI认知可能导致担忧增加，而实际接触则会降低焦虑并增强信心。
虽然ICU护士认识到AI的潜在益处，但对工作岗位替代、护理非人性化和工作流程中断的担忧普遍存在。这些发现强调了针对性AI教育、实践培训以及解决伦理和劳动力相关影响的支持性政策的必要性。针对具体情况的策略对于增强护士在重症监护环境中采用AI技术的准备程度和信心至关重要。
