{"title":"智能门诊服务流程优化研究","authors":"Junhong Wu, Qiaozhen Dong, Biaobiao Zhang","doi":"10.2991/ichssr-19.2019.48","DOIUrl":null,"url":null,"abstract":"This paper analyzes the current situation of 'three longs and one short' problem in the process of outpatient service and points out the deep-rooted problems causing it. By means of the business process reengineering and intelligent outpatient service method, this paper proposes the optimization goals and countermeasures for the outpatient service process. Through the comparative analysis of intelligent medical treatment and traditional medical treatment, it can be concluded that intelligent medical treatment can greatly shorten the waiting time of patients, improve satisfaction of patients, and bring positive benefits to hospitals and medical workers.","PeriodicalId":142146,"journal":{"name":"Proceedings of the 2019 5th International Conference on Humanities and Social Science Research (ICHSSR 2019)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Optimization of the Intelligent Outpatient Service Process\",\"authors\":\"Junhong Wu, Qiaozhen Dong, Biaobiao Zhang\",\"doi\":\"10.2991/ichssr-19.2019.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the current situation of 'three longs and one short' problem in the process of outpatient service and points out the deep-rooted problems causing it. By means of the business process reengineering and intelligent outpatient service method, this paper proposes the optimization goals and countermeasures for the outpatient service process. Through the comparative analysis of intelligent medical treatment and traditional medical treatment, it can be concluded that intelligent medical treatment can greatly shorten the waiting time of patients, improve satisfaction of patients, and bring positive benefits to hospitals and medical workers.\",\"PeriodicalId\":142146,\"journal\":{\"name\":\"Proceedings of the 2019 5th International Conference on Humanities and Social Science Research (ICHSSR 2019)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 5th International Conference on Humanities and Social Science Research (ICHSSR 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ichssr-19.2019.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 5th International Conference on Humanities and Social Science Research (ICHSSR 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ichssr-19.2019.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Optimization of the Intelligent Outpatient Service Process
This paper analyzes the current situation of 'three longs and one short' problem in the process of outpatient service and points out the deep-rooted problems causing it. By means of the business process reengineering and intelligent outpatient service method, this paper proposes the optimization goals and countermeasures for the outpatient service process. Through the comparative analysis of intelligent medical treatment and traditional medical treatment, it can be concluded that intelligent medical treatment can greatly shorten the waiting time of patients, improve satisfaction of patients, and bring positive benefits to hospitals and medical workers.