将生成人工智能纳入健康信息学课程,以建立21世纪的能力:多站点前后研究
Freddie Seba1,2, Miriam Isola3, Laura Mills3
1Masters of Science in Digital Health Informatics School of Nursing and Health Professions, University of San Francisco, 2130 Fulton Street, San Francisco, CA, 94117, United States, 1 415-422-5555.
JMIR medical informatics
|December 16, 2025
概括
这项研究将生成人工智能 (AI) 整合到健康信息学课程中,大大提高了学生的知识和技能. 这些发现强调了人工智能能力对不断变化的医疗保健就业市场的重要性.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能教育 人工智能教育
背景情况:
- 为士水平的健康信息学学生开发了创新的学习任务,以建立生成AI的知识和技能.
- 假设没有先前的技术背景或在学生中使用生成AI工具的经验.
研究的目的:
- 在高等教育卫生信息学课程中提供整合和评估生成AI内容的可通用方法.
- 为研究生准备必要的生成人工智能工具,技能,道德辨识和批判性思维,以适应不断变化的就业市场.
主要方法:
- 在整个学期中进行了预测和后测试,以评估生成AI知识.
- 分析了学生的反思,以探索期望,经验和在作业和项目中与生成AI的参与.
- 专注于使用生成性AI工具开发学生的技能和专业态度.
主要成果:
- 学生对生成AI的知识在UIC从81%增加到93%,在USF从77%增加到80%.
- 教师对反思的分析表明,学生对人工智能的基础,信息/知识的转变以及医疗保健中的组织变化感兴趣.
- 伦理学成为学生对生成人工智能的兴趣和参与的主要驱动力.
结论:
- 学生的反思为健康信息学课程提供了有价值的生成人工智能技能的见解.
- 整合生成性AI能力为21世纪的劳动力和受欢迎的数字健康技能做好了学生的准备.
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