人工智能准备度及其影响因素在新获得资格的护士:一个横截面研究
Qianqian Yang1,2, Min Zhao3, Linlin Yang4
1Liaocheng People's Hospital, Medical School, Liaocheng University, Liaocheng, Shandong, China.
Frontiers in medicine
|February 13, 2026
概括
新获得资格的护士表现出适度的人工智能 (AI) 准备. 感知到的易用性,先前的AI培训和AI意识显著影响他们准备在临床实践中采用AI的程度.
科学领域:
- 护理信息学 护理信息学
- 医疗保健中的人工智能
- 技术采用 技术采用
背景情况:
- 新获得资格的护士对于在医疗保健中整合先进技术至关重要.
- 了解他们对人工智能 (AI) 的准备对于有效实施至关重要.
- 技术接受模型为评估人工智能采用提供了一个框架,但需要适应临床护理环境.
研究的目的:
- 调查新获得资格护士的人工智能 (AI) 准备情况.
- 确定影响人工智能准备的因素,包括感知到的障碍.
- 在护理实践中扩展人工智能采用技术接受模式.
主要方法:
- 在四家三级医院对329名新获得资格的护士进行了横截面调查.
- 数据采集使用经过验证的AI准备度,感知到的有用性,易用性和感知到的障碍等尺度.
- 统计分析包括描述性统计,相关性和多重线性回归,使用SPSS 27.0.0.
主要成果:
- 新获得资格的护士表现出适度的AI准备能力 (M=9.85,SD=1.97).
- 人工智能准备程度的重要预测因素包括感知到的易用性 (β=0.211,p=0.006),先前的人工智能培训 (β=0.23,p<0.001),以及人工智能意识 (β=0.201,p=0.018).
- 感知障碍,虽然普遍存在 (例如,缺乏人工智能知识,有限的计算机技能),但在回归分析中没有显著预测准备.
结论:
- 新获得资格护士的人工智能准备是多因素的,感知到的易用性,先前培训和意识是关键.
- 解决知识差距和有限的计算机技能等实际挑战至关重要.
- 加强人工智能培训,提高系统可用性,并提供足够的支持是必要的,以加强人工智能在护理中的采用.
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