探索新兴医生能力:分析X医疗保健影响者的洞察力
Yunzhu Ouyang1, Qi Guo2, Cecilia B Alves2
1Flight Technology College, Civil Aviation Flight University of China, Guanghan, China.
Medical teacher
|September 21, 2025
概括
在COVID后,新兴的医生能力包括解决健康差异,适应性专业知识和领导力. 对社交媒体的AI分析确定了医学教育和评估的关键主题.
科学领域:
- 医学教育 医学教育
- 医生能力 医生能力
- 医疗保健中的人工智能
背景情况:
- 后COVID-19的景观需要了解不断发展的医生能力.
- 医疗教育和评估框架需要更新,以反映当前的医疗需求.
研究的目的:
- 通过分析社交媒体讨论来确定新兴的医生能力.
- 利用人工智能从影响者帖子中提取有关医生能力的见解.
主要方法:
- 从X平台收集和分析了2020年1月至2023年6月的帖子.
- 采用社交网络分析来识别医疗能力话语中的关键影响者.
- 利用ChatGPT进行自然语言处理,以确定医生能力的核心主题.
主要成果:
- 医疗专业人员被确定为医疗能力的主要信息传播者.
- 从CanMEDS数据集中出现了六个核心主题:临床学习环境,反种族主义,公平,多样性和包容 (EDI),适应性专业知识,行星健康和领导力发展.
- 从MedEd数据集中出现了七个核心主题:文化能力,结构能力,评估模型,虚拟护理,EDI,领导力发展和健康.
结论:
- 确定的主题强调了医生需要解决健康差异,并适应医疗保健变化.
- 调查结果为医学教育课程开发和医生能力评估策略提供了信息.
- 该研究强调了人工智能在评估和定义未来实践医生能力方面的潜力.
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