生成型人工智能 (GenAI) 患者模拟对全球护理本科生感知临床能力的影响:一个交叉随机对照试验
Tai Chun John Fung1, Siu Ling Chan2, Choi Fung Mabel Lam2
1School of Nursing, Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR. bigjohn@hku.hk.
BMC nursing
|July 17, 2025
概括
生成型人工智能 (GenAI) 患者模拟和360度虚拟现实 (VR) 模拟都提高了护理学生的临床能力和AI准备. 基因人工智能显示出对这些技能的初始影响更快,尽管这两种方法都被证明有效.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 护理模拟器 护理模拟器
背景情况:
- 传统的模拟方法正随着新技术的发展而发展.
- 生成型人工智能 (GenAI) 和虚拟现实 (VR) 提供了新的模拟方法.
- 评估这些先进工具的比较有效性对于现代护理教育至关重要.
研究的目的:
- 将基于场景的GenAI患者模拟与沉浸式360°VR模拟进行比较.
- 评估它们对护理学生所感知的临床能力,文化意识和人工智能准备能力的影响.
- 为了评估整体模拟的有效性.
主要方法:
- 一项交叉随机对照研究,涉及44名本科护理学生.
- 参与者被分配到GenAI或360度VR模拟中,并有一个为期一周的休息期.
- 自我报告问卷测量了临床能力,文化意识,人工智能准备以及模拟效率.
主要成果:
- 基因AI和VR模拟都显著提高了临床能力,文化意识和AI准备.
- 与VR相比,GenAI模拟对临床能力和AI准备度产生了更大的初始影响.
- 这两项干预都带来了持续的改善,参与者对汇报和信心的满意度很高.
结论:
- 基因AI患者模拟和360度VR模拟是护理学生有效的教学工具.
- 基因AI可能会在临床能力和人工智能准备能力方面提供更快的初始增强.
- 这两种技术都对医疗保健专业人员的技能发展和准备做出了积极的贡献.
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