开发基于在线审查的医疗保健服务质量评估框架:文本挖掘研究
Xue Zhang1, Jianshan Sun2,3, Xin Li4
1Fuyang Normal University, Fuyang, China.
Journal of medical Internet research
|July 9, 2025
概括
本研究引入了使用患者评论的5维医疗保健服务质量框架 (HSQ-5D). 该框架有效预测患者需求,提高在线健康平台质量评估.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 数字健康数字健康
- 文本挖掘 (Text Mining) 是一个很好的方法.
背景情况:
- 在线患者评价对于评估医疗服务质量至关重要.
- 文本评论中的关键质量维度未得到充分探索.
研究的目的:
- 利用在线审查数据开发一个全面的医疗服务质量评估框架.
- 在大型平台上为众多医生提供高效的质量评估.
主要方法:
- 使用文本挖掘方法,从在线评论中提取理论驱动的主题.
- 开发了一个基于主题和情感分类的框架.
- 进行经验分析,通过检查情绪对患者需求的影响来验证框架.
主要成果:
- 建立了一个五维的医疗保健服务质量框架 (HSQ-5D模型).
- 确定了关键维度:专业知识,服务交付流程,态度,同理心和结果.
- 证明这些尺寸显著影响患者需求,解释了85.52%的差异.
结论:
- 在评估医疗保健服务质量方面,HSQ-5D模型是有效且实际上有价值的.
- 将文本挖掘与数字健康环境的服务质量框架相结合.
- 旨在减少信息不对称性,加强患者与提供者之间的关系,并促进以患者为中心的护理.
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