{"title":"医疗保健中的劳动力建模","authors":"P. Harper","doi":"10.5013/ijssst.a.22.03.08","DOIUrl":null,"url":null,"abstract":"The National Health Service is Europe’s largest employer, with over 70 different professions. A simulation model designed to forecast workforce needs in the acute hospital setting is described. A modelling approach for taking the experience and ideas from the acute setting to intermediate care is proposed, to encompass the whole system and the individual parts. This will enable patient needs and the most effective workforce skill mix for nurses and therapists to be calculated.","PeriodicalId":261136,"journal":{"name":"International journal of simulation: systems, science & technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Workforce Modelling in Healthcare\",\"authors\":\"P. Harper\",\"doi\":\"10.5013/ijssst.a.22.03.08\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The National Health Service is Europe’s largest employer, with over 70 different professions. A simulation model designed to forecast workforce needs in the acute hospital setting is described. A modelling approach for taking the experience and ideas from the acute setting to intermediate care is proposed, to encompass the whole system and the individual parts. This will enable patient needs and the most effective workforce skill mix for nurses and therapists to be calculated.\",\"PeriodicalId\":261136,\"journal\":{\"name\":\"International journal of simulation: systems, science & technology\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of simulation: systems, science & technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5013/ijssst.a.22.03.08\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of simulation: systems, science & technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5013/ijssst.a.22.03.08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The National Health Service is Europe’s largest employer, with over 70 different professions. A simulation model designed to forecast workforce needs in the acute hospital setting is described. A modelling approach for taking the experience and ideas from the acute setting to intermediate care is proposed, to encompass the whole system and the individual parts. This will enable patient needs and the most effective workforce skill mix for nurses and therapists to be calculated.
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