在现实中扎根:医疗教育中的人工智能
Jacob Krive1, Miriam Isola1, Linda Chang2
1Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
JAMIA open
|June 5, 2023
概括
医学学生可以通过新的能力驱动的课程获得必要的人工智能 (AI) 能力. 这一创新课程为未来的医生准备在患者护理中整合AI.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 数字健康数字健康
背景情况:
- 医学学生表达了对医学人工智能 (AI) 能力的强烈愿望.
- 本科医学教育应该主动整合人工智能培训.
- 为医学院课程提出了一个基于能力的AI教学模型.
研究的目的:
- 为医学学生设计和实施人工智能课程.
- 为未来的临床医生提供数字患者护理环境的技能.
- 将人工智能概念与核心医学学科相结合.
主要方法:
- 在线作业使用了构造主义和逆向设计原则.
- 开发了一个模块化的4周人工智能课程,假设没有先前的技术背景.
- 整合AI与基于证据的医学,病理学,药理学和患者安全.
主要成果:
- 医学四年级学生表现出显著的知识提高 (97%的测试平均值).
- 学生表现出强大的技能应用 (89%的分配平均值).
- 反思表明,从人工智能理论到实际应用的过渡是成功的.
结论:
- 一个创新的,基于能力的AI教育产品已经开发出来.
- 该课程可以适应临床前 (基础) 和临床 (应用) 年.
- 这种教育模式为学生在居住和未来的实践中为人工智能做好准备.
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