{"title":"在大规模伤亡事故中,有效分配伤亡者到医院","authors":"Duncan T. Wilson, G. Hawe, G. Coates, R. Crouch","doi":"10.1109/ANTHOLOGY.2013.6785032","DOIUrl":null,"url":null,"abstract":"The effective allocation of casualties amongst hospitals represents a crucial element of the response to any mass casualty incident. We propose a mathematical model to assist in achieving such a distribution by providing a means to evaluate and compare any proposed allocations. The model incorporates factors identified in the emergency medicine literature as of particular importance, including the availability of specialist treatment facilities and the dynamic nature of hospital capacity. The proposed model's application is demonstrated via a hypothetical mass casualty incident.","PeriodicalId":203169,"journal":{"name":"IEEE Conference Anthology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effective allocation of casualties to hospitals in mass casualty incidents\",\"authors\":\"Duncan T. Wilson, G. Hawe, G. Coates, R. Crouch\",\"doi\":\"10.1109/ANTHOLOGY.2013.6785032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effective allocation of casualties amongst hospitals represents a crucial element of the response to any mass casualty incident. We propose a mathematical model to assist in achieving such a distribution by providing a means to evaluate and compare any proposed allocations. The model incorporates factors identified in the emergency medicine literature as of particular importance, including the availability of specialist treatment facilities and the dynamic nature of hospital capacity. The proposed model's application is demonstrated via a hypothetical mass casualty incident.\",\"PeriodicalId\":203169,\"journal\":{\"name\":\"IEEE Conference Anthology\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference Anthology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTHOLOGY.2013.6785032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference Anthology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTHOLOGY.2013.6785032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective allocation of casualties to hospitals in mass casualty incidents
The effective allocation of casualties amongst hospitals represents a crucial element of the response to any mass casualty incident. We propose a mathematical model to assist in achieving such a distribution by providing a means to evaluate and compare any proposed allocations. The model incorporates factors identified in the emergency medicine literature as of particular importance, including the availability of specialist treatment facilities and the dynamic nature of hospital capacity. The proposed model's application is demonstrated via a hypothetical mass casualty incident.