{"title":"远程医疗系统集体会诊专家调度策略研究","authors":"Liu-bai Li","doi":"10.1109/ICMSS.2010.5576741","DOIUrl":null,"url":null,"abstract":"In the Long-distance Medical System, experts scheduling of collective consultation is a key part. On the basis of systematic analysis, we established a mathematical model of scheduling algorithm and described the algorithm. The algorithm is realized with less waiting time to achieve greater collective diagnosis, but also maximize the number of experts participating in each collective consultation, with high efficiency in collective consultation.","PeriodicalId":329390,"journal":{"name":"2010 International Conference on Management and Service Science","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on Experts Scheduling Strategy of Collective Consultation in Long-Distance Medical System\",\"authors\":\"Liu-bai Li\",\"doi\":\"10.1109/ICMSS.2010.5576741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the Long-distance Medical System, experts scheduling of collective consultation is a key part. On the basis of systematic analysis, we established a mathematical model of scheduling algorithm and described the algorithm. The algorithm is realized with less waiting time to achieve greater collective diagnosis, but also maximize the number of experts participating in each collective consultation, with high efficiency in collective consultation.\",\"PeriodicalId\":329390,\"journal\":{\"name\":\"2010 International Conference on Management and Service Science\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Management and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSS.2010.5576741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Management and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSS.2010.5576741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Experts Scheduling Strategy of Collective Consultation in Long-Distance Medical System
In the Long-distance Medical System, experts scheduling of collective consultation is a key part. On the basis of systematic analysis, we established a mathematical model of scheduling algorithm and described the algorithm. The algorithm is realized with less waiting time to achieve greater collective diagnosis, but also maximize the number of experts participating in each collective consultation, with high efficiency in collective consultation.