在预注册护理教育中嵌入人工智能素养的课程框架
Emily Tomlinson1, Monica Schoch1, Jo McDonall1
1School of Nursing and Midwifery & Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, 1 Gheringhap Street, Geelong, Vic., 3220, Australia.
Nurse education today
|November 25, 2025
概括
这项研究引入了一个新的框架,将人工智能 (AI) 识字融入护理教育中. 该框架确保护理毕业生获得现代医疗保健所必需的AI评估,伦理和临床应用技能.
科学领域:
- 护理教育 护理教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 在医疗保健中的使用越来越多,需要准备预注册护理学生.
- 目前的护理课程缺乏嵌入关键AI素养的指导方针.
研究的目的:
- 提出一个新的课程框架,系统地将关键的人工智能素养嵌入到为期三年的预注册护理计划中.
- 为未来护士培养人工智能能力提供结构化的方法.
主要方法:
- 框架开发涉及试点实施和与大学工作人员,包括学者和学习设计师的商.
- 该框架符合专业临床指南和机构AI原则.
主要成果:
- 该框架提出了跨越三年计划的支架式学习成果,内容和技能.
- 第一年专注于基础AI概念,第二年关注医疗保健应用,第三年关注临床实施.
结论:
- 结构化的框架确保护理毕业生发展关键AI评估,道德理解和临床应用技能.
- 未来的方向包括在医疗保健教育和协作改进中更广泛地采用.
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