在医学教育中比较人工智能和人类分析定性研究:从评估医生勃发展计划的洞察力
Julia Silverman1, Benjamin Weisman1, Alice Fornari1
1Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, USA.
Medical science educator
|March 9, 2026
概括
人工智能 (AI) 可以在医学教育的定性研究中加快主题识别. 人工智能作为一个有价值的工具,帮助医学教育工作者在他们的定性研究.
科学领域:
- 医学教育 医学教育
- 定性研究是指质量研究.
- 人工智能的人工智能
背景情况:
- 在医学教育中,定性研究对于理解复杂现象至关重要.
- 在定性数据分析中,主题识别可能是一个耗时的过程.
研究的目的:
- 研究人工智能 (AI) 的潜力,以增强医学教育中的定性研究.
- 从焦点组成绩单中评估AI在主题识别方面的效率.
主要方法:
- 从完成了以人文主义为重点的计划的临床医生收集了焦点小组成绩单.
- 人工智能工具被用来分析定性数据.
主要成果:
- 人工智能展示了加速主题识别过程的能力.
- 人工智能是传统定性分析方法的有效补充.
结论:
- 人工智能在提高医学教育中定性研究的效率方面表现有前途.
- 人工智能可以成为医学教育工作者进行定性研究的宝贵补充工具.
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