绘制五年的#FOAMed:Twitter/X上的趋势,参与度和主题转移
Ertuğ Günsoy1, Ahmet Aykut1, Cem Yildirim1
1University of Health Sciences, Van Education and Research Hospital, Department of Emergency Medicine, Van, Türkiye.
The western journal of emergency medicine
|January 19, 2026
概括
在X (以前的Twitter) 上免费开放式医疗教育 (FOAMed) 展示了不断发展的主题,护理点超声波和医疗教育正在获得引力. 内容质量,而不仅仅是数量,推动了参与这个动态的数字学习空间.
科学领域:
- 数字健康数字健康
- 医学教育 医学教育
- 社交媒体分析 社交媒体分析
背景情况:
- 免费开放式医疗教育 (FOAMed) 是一个重要的在线医疗沟通工具.
- X (以前的Twitter) 作为专业医疗话语的关键平台.
- 对FOAM含量演变的纵向研究是有限的.
研究的目的:
- 在五年内 (2020-2024) 分析X上的#FOAMed内容的主题转变.
- 检查#FOAMed社区内的用户交互趋势和参与模式.
- 识别在线医学教育话语中的关键主题及其演变.
主要方法:
- 书目计量和自然语言处理 (NLP) 的回顾性研究.
- 从2020年1月到2024年12月,分析了6000条高参与度的#FOAMed推文.
- 潜在的迪里克莱特分配 (LDA) 用于主题建模;描述性统计和线性回归用于参与分析.
主要成果:
- 确定了十个不同的话题,包括POCUS,神经放射学,心脏学,重症监护和医学教育.
- 主题流行率从COVID-19/重症监护转移到医院前护理,诊断和POCUS.
- 参与度在2023年达到顶峰;#POCUS和#MedEd标签显示使用和参与度增加,而COVID-19则下降.
- 通过标签数相关性指出的内容质量是可见性的重要驱动因素.
结论:
- 关于X的FOAMed话语是动态的,并响应临床需求.
- NLP和主题建模有效地揭示了数字医学教育的纵向趋势.
- X为医疗保健专业人员提供非正式的实时学习社区.
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