{"title":"基于智能手机的CBR算法减少门诊候诊时间","authors":"Yuh-Tzong Liu, Yi-Han Chen, Nei-Phon Wang, Chun-Jung Lin, Yung-An Chen","doi":"10.1109/ICMLC.2014.7009659","DOIUrl":null,"url":null,"abstract":"Many people who live in Taiwan may have the experience of medical treatment so called \"three longer, two shorter\" situations. The \"Three longer\" phenomenon means we must keep in line waiting for registration, waiting to see a doctor in the clinic room and waiting for prescriptions. The \"Two shorter\" phenomenon means a doctor has many patients on his hands so the visit and the in-query time of out-patient diagnostic will be relatively short. With the development of medical information system and the application of the internet, registration and prescription have made a rapid progress. Because the complexity of the disease and the doctor's regular practice of diagnosis, medical institutions usually can't reduce the waiting time for outpatient efficiently. This study will introduce the smart phone apps as the carrier, using Case-Based Reasoning (CBR) algorithm to construct an Expert System, so as to inform patients the right time needed to go to the clinic. For the patients using this apps, we not only can reduce the waiting time but also improve the satisfaction of patients'. Besides, we believe the quality of care will also be improved.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Reducing the outpatient waiting time based on CBR algorithm using smartphone\",\"authors\":\"Yuh-Tzong Liu, Yi-Han Chen, Nei-Phon Wang, Chun-Jung Lin, Yung-An Chen\",\"doi\":\"10.1109/ICMLC.2014.7009659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many people who live in Taiwan may have the experience of medical treatment so called \\\"three longer, two shorter\\\" situations. The \\\"Three longer\\\" phenomenon means we must keep in line waiting for registration, waiting to see a doctor in the clinic room and waiting for prescriptions. The \\\"Two shorter\\\" phenomenon means a doctor has many patients on his hands so the visit and the in-query time of out-patient diagnostic will be relatively short. With the development of medical information system and the application of the internet, registration and prescription have made a rapid progress. Because the complexity of the disease and the doctor's regular practice of diagnosis, medical institutions usually can't reduce the waiting time for outpatient efficiently. This study will introduce the smart phone apps as the carrier, using Case-Based Reasoning (CBR) algorithm to construct an Expert System, so as to inform patients the right time needed to go to the clinic. For the patients using this apps, we not only can reduce the waiting time but also improve the satisfaction of patients'. Besides, we believe the quality of care will also be improved.\",\"PeriodicalId\":335296,\"journal\":{\"name\":\"2014 International Conference on Machine Learning and Cybernetics\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2014.7009659\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2014.7009659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reducing the outpatient waiting time based on CBR algorithm using smartphone
Many people who live in Taiwan may have the experience of medical treatment so called "three longer, two shorter" situations. The "Three longer" phenomenon means we must keep in line waiting for registration, waiting to see a doctor in the clinic room and waiting for prescriptions. The "Two shorter" phenomenon means a doctor has many patients on his hands so the visit and the in-query time of out-patient diagnostic will be relatively short. With the development of medical information system and the application of the internet, registration and prescription have made a rapid progress. Because the complexity of the disease and the doctor's regular practice of diagnosis, medical institutions usually can't reduce the waiting time for outpatient efficiently. This study will introduce the smart phone apps as the carrier, using Case-Based Reasoning (CBR) algorithm to construct an Expert System, so as to inform patients the right time needed to go to the clinic. For the patients using this apps, we not only can reduce the waiting time but also improve the satisfaction of patients'. Besides, we believe the quality of care will also be improved.