摘要
目的:探讨基于大数据的互联网患者满意度云平台在提高医院医疗服务质量中的作用。方法:基于互联网云端技术进行大数据处理分析,并与医院信息系统共同构建互联网患者满意度云平台,实现调查、分析、整改一体化管理。医院运用大数据处理针对薄弱环节进行整改,持续改进医院服务流程与质量。结果:实施后期患者满意度较初期显著提高,且各项医疗服务质量指标评分均较初期上升,差异均有统计学意义(P<0.05)。结论:基于大数据的互联网患者满意度云平台能补充传统患者满意度监测中的不足,在提高医院医疗服务质量中有良好的应用前景。
Objective:To explore the role of internet patient satisfaction cloud platform based on big data.Method:Based on internet cloud technology,big data processing and analysis was implemented,and together with the hospital information system to build the internet patient satisfaction cloud platform to realize the integrated management of investigation,analysis and rectification.The hospital used big data technology to rectify the weak links and continuously improve the hospital service process and quality.Result:In the later stage of implementation,patient satisfaction was significantly improved compared with the early stage,and the scores of various medical service quality indexes were all increased compared with the early stage,and the differences were statistically significant (P<0.05).Conclusion:Internet patient satisfaction cloud platform based on big data can supplement the deficiencies of traditional patient satisfaction monitoring,and has a good application prospect in improving the quality of hospital medical services.
作者
钟运香
刘燕
何晓锋
何碧娟
苏剑华
蒋珍柳
ZHONG Yunxiang;LIU Yan;HE Xiaofeng;HEBijuan;SU Jianhua;JIANG Zhenliu(The Fifth People’s Hospital of Dongguan,Dongguan 523900,China;不详)
出处
《中外医学研究》
2020年第14期156-157,共2页
CHINESE AND FOREIGN MEDICAL RESEARCH
基金
东莞市社会科技发展(一般)项目(项目编号:201750715025150)。
关键词
患者满意度
大数据
互联网
Patient satisfaction
Big data
Internet