在护理教育中对GenAI进行快速审查
Laura Hinsche1, Martina Hasseler1, Tim Tischendorf2
1Faculty of Healthcare, Ostfalia University of Applied Sciences, Wolfsburg, Germany.
Frontiers in health services
|February 2, 2026
概括
生成型人工智能 (GenAI) 为护理教育提供了巨大的潜力,增强了个性化的学习和培训. 然而,负责任的融合需要课程调整和教师培训,以减轻诸如偏见和知识扭曲等风险.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 以ChatGPT为例的生成AI为护理教育提供了机会,包括个性化学习,模拟和教学支持.
- 成功的整合需要解决道德问题,调整课程,提高教师的数字素养,以防止知识扭曲,偏见和教育差异.
研究的目的:
- 快速概述生成人工智能在护理教育中的作用和影响.
- 确定与在护理教育中实施生成人工智能相关的关键主题,好处和挑战.
主要方法:
- 在PubMed,Embase,CINAHL和Scopus中进行了全面的文献搜索,寻找2019-2025年的出版物.
- 搜索术语包括"生成AI"",ChatGPT"和"护理". 根据PRISMA指南,分析了140个完整文本.
主要成果:
- 五个主题领域出现了:护理教育,能力发展,技能提升,实施策略,考试质量和道德考虑.
- 生成型人工智能提供了双重潜力:通过虚拟导师和考试准备丰富学习,同时要求对抄袭,数据偏见和人类监督的必要性给予关键关注.
结论:
- 调整课程和提供有针对性的教师培训对于在护理教育中负责任有效地使用生成人工智能至关重要.
- 建议采取积极的方法来整合生成AI,而不是彻底禁止利用它的好处,同时管理风险.
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