{"title":"护士调度模型:最先进的回顾。","authors":"D Sitompul, S U Randhawa","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Nursing salaries make up the largest single element in hospital costs. Thus, effective scheduling of nursing personnel is important in controlling health-care costs. Scheduling nurses in hospitals is a complex problem due to variability in demand and a variety of conflicting interests and objectives. This article reviews the models that have been developed for nurse scheduling, including heuristic-, optimization- and artificial intelligence-based models. The approaches and limitations of these models are discussed, and a direction for future research is identified.</p>","PeriodicalId":77231,"journal":{"name":"Journal of the Society for Health Systems","volume":"2 1","pages":"62-72"},"PeriodicalIF":0.0000,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nurse scheduling models: a state-of-the-art review.\",\"authors\":\"D Sitompul, S U Randhawa\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Nursing salaries make up the largest single element in hospital costs. Thus, effective scheduling of nursing personnel is important in controlling health-care costs. Scheduling nurses in hospitals is a complex problem due to variability in demand and a variety of conflicting interests and objectives. This article reviews the models that have been developed for nurse scheduling, including heuristic-, optimization- and artificial intelligence-based models. The approaches and limitations of these models are discussed, and a direction for future research is identified.</p>\",\"PeriodicalId\":77231,\"journal\":{\"name\":\"Journal of the Society for Health Systems\",\"volume\":\"2 1\",\"pages\":\"62-72\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Society for Health Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Society for Health Systems","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nurse scheduling models: a state-of-the-art review.
Nursing salaries make up the largest single element in hospital costs. Thus, effective scheduling of nursing personnel is important in controlling health-care costs. Scheduling nurses in hospitals is a complex problem due to variability in demand and a variety of conflicting interests and objectives. This article reviews the models that have been developed for nurse scheduling, including heuristic-, optimization- and artificial intelligence-based models. The approaches and limitations of these models are discussed, and a direction for future research is identified.