{"title":"Scheduling medical tests: A solution to the problem of overcrowding in a hospital emergency department","authors":"D. Lin, F. Labeau, Xidong Zhang, Guixia Kang","doi":"10.1109/HealthCom.2012.6380074","DOIUrl":null,"url":null,"abstract":"To improve the performance of hospital emergency department (ED), we propose a scheduling strategy to reduce the total time of medical tests in ED for a given number of patients. We model the schedulig strategy as a constraint logic programming problem, and then solve this problem with an open source software: Minizinc. Also we compare the medical test time with the scheduling strategy and that without scheduling, which is viewed as a benchmark for our proposed scheduling strategy. The results show that the scheduling strategy can save 12%-25% of medical test time.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6380074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To improve the performance of hospital emergency department (ED), we propose a scheduling strategy to reduce the total time of medical tests in ED for a given number of patients. We model the schedulig strategy as a constraint logic programming problem, and then solve this problem with an open source software: Minizinc. Also we compare the medical test time with the scheduling strategy and that without scheduling, which is viewed as a benchmark for our proposed scheduling strategy. The results show that the scheduling strategy can save 12%-25% of medical test time.