引用本文:向菲,江捷,谢耀谈.基于时滞关联特征患者就诊反馈分析[J].中华医学图书情报杂志,2019,28(6):48-54.
基于时滞关联特征患者就诊反馈分析
Hospital visit feedback of time lag-associated characteristic patients
DOI:10.3969/j.issn.1671-3982.2019.06.007
中文关键词:  在线医疗社区  患者反馈  时滞  评论主题  满意度
英文关键词:Online Medical Community  Patient feedback  Time lag  Review topic  Satisfaction
基金项目:
作者单位
向菲 华中科技大学同济医学院医药卫生管理学院湖北 武汉 430030 
江捷 华中科技大学同济医学院医药卫生管理学院湖北 武汉 430030 
谢耀谈 华中科技大学同济医学院医药卫生管理学院湖北 武汉 430030 
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中文摘要:
      抓取“微医网”医患评论数据,对其中时滞与患者满意度进行关联分析,并对评论内容进行主题挖掘,提取不同时滞区间内患者重点关注的内容。通过对患者评论文本不同时滞区间内容的分析,寻找满意度提升策略,以缓解医患关系。使用K-means将患者反馈数据根据就诊后时长反馈分为“短期”和“长期”,通过LDA主题提取模型,对满意度划分后的患者评论文本挖掘不同时滞区间内患者所关注的重点内容,将其差异进行对比分析发现,患者就诊满意度随着时滞呈现趋高现象,不同时滞文本显示患者评论维度大致相同,但随着时滞区间的转移,患者所关注的就诊体验内容也有所变化。
英文摘要:
      The review data of doctors and patients were extracted from "guabao.com". The association between time lag and patient satisfaction was analyzed and the topics of review contents were mined to extract the patients-concerned contents in different time lag intervals. The strategies for improving the patient satisfaction were identified by analyzing the contents in different time lag intervals in review texts of patients in order to alleviate the relationship between doctors and patients. The feedback data of patients were divided into "short-term data" and "long-term data" using K-means according to their hospital visit time. The patients-concerned key contents in different time lag intervals in review texts of patients were mined after the classification of their satisfaction. Differential comparative analysis showed that the satisfaction of hospital visit patients increased with the time lag and different time lag texts revealed a similar review dimension of patients. However, the patients-concerned hospital visit experience would change with the shift of time lag intervals.
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