在AI时代,中国的医学学生应该具备哪些数字能力?
Jinjuan Chen1, Xiaorong Hou2, Yalan Lv2
1College of Artificial Intelligence Medicine, Chongqing Medical University, Chongqing 400016, China; Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, Chongqing 402760, China.
International journal of medical informatics
|July 18, 2025
概括
通过专家的共识,为医学学生开发了一个新的数字能力框架. 该框架解决了医疗教育和临床实践中数字技能日益增长的需求.
科学领域:
- 医学教育 医学教育
- 数字健康数字健康
- 能力框架 能力框架
背景情况:
- 数字化转型需要加强医学学生的数字能力.
- 中国现有的框架与临床实践要求不一致.
- 对未来的医疗保健专业人员来说,定义和构建数字能力至关重要.
研究的目的:
- 调查和建立一个数字能力框架,为中国的医学学生.
- 为数字能力培训和课程开发提供建议.
- 解决医疗教育当前数字能力标准中的差距.
主要方法:
- 关于数字能力和能力理论的文献综述.
- 两轮的德尔菲方法,涉及20名专家来完善指标.
- 分析层次过程 (AHP) 用于确定指标权重.
主要成果:
- 获得了高专家权威系数 (0.81,0.82) 和共识 (肯德尔的W,p <0.05).
- 制定了一个包括3个领域,9个主要指标和27个次要指标的综合框架.
- 在两轮Delphi调查中100%的响应率确保了可靠的数据.
结论:
- 为医学学生成功建立了一个经过验证的数字能力框架.
- 该框架支持医学学生的自我发展,并指导课程设计.
- 这为推进数字医学教育提供了基础参考.
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