摘要
患者对医生的评价是获取医患关系信息的重要途径,分析在线健康平台上患者对医生的评价内容,可以了解患者对医疗质量和医生服务水平的认知。文章以丁香医生在线健康平台上患者对医生的评价数据作为研究对象,利用LDA主题模型进行主题聚类,并采用SnowNLP技术进行情感分析。结果显示,评价数据涉及表达感谢、服务态度、线上咨询和术后反馈四个主题。同时,共现分析和词云图显示了高频词汇之间的联系。最终,针对医生、患者和平台三者提出相关建议,旨在促进医疗质量的提升和医患关系的改善。
Patient evaluation of doctor is an important way to obtain information about the doctor-patient relationship.Analyzing the content of patient evaluation of doctor on online health platform can understand the patient's perception of the medical quality and the level of doctor service.This paper takes the data of patient evaluation of doctor on the online health platform of Dingxiang Doctor as the research object,uses the LDA topic model for topic clustering,and uses SnowNLP technology for sentiment analysis.The results show that the evaluation data involves four topics of expression of gratitude,service attitude,online consultation and post-operative feedback.Meanwhile,the co-occurrence analysis and word cloud diagram demonstrate the connection between high-frequency words.Eventually,relevant suggestions are made for doctor,patient and platform,aiming to promote the improvement of medical quality and doctor-patient relationship.
作者
王文鹏
李海晨
WANG Wenpeng;LI Haichen(School of Information Management,Heilongjiang University,Harbin 150080,China)
出处
《现代信息科技》
2024年第19期124-129,共6页
Modern Information Technology
关键词
在线健康平台
医患关系
患者评价
LDA主题模型
情感分析
online health platform
doctor-patient relationship
patient evaluation
LDA topic model
sentiment analysis
