{"title":"最快","authors":"Maria Serna, Subrata Acharya","doi":"10.1145/3341161.3343698","DOIUrl":null,"url":null,"abstract":"The purpose of this project was the development of a web application, that allow users to find the Emergency Department that provides the best timely and effective care in a defined area. The inputs that the user must provide are a location ZIP code and a maximum radius in miles. The output is a list of ED in the defined area and each one is associated to a “timely and effective care index” that can be used as an indicator of quality care and estimate travel time to the corresponding ED.","PeriodicalId":229882,"journal":{"name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FastestER\",\"authors\":\"Maria Serna, Subrata Acharya\",\"doi\":\"10.1145/3341161.3343698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this project was the development of a web application, that allow users to find the Emergency Department that provides the best timely and effective care in a defined area. The inputs that the user must provide are a location ZIP code and a maximum radius in miles. The output is a list of ED in the defined area and each one is associated to a “timely and effective care index” that can be used as an indicator of quality care and estimate travel time to the corresponding ED.\",\"PeriodicalId\":229882,\"journal\":{\"name\":\"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3341161.3343698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341161.3343698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The purpose of this project was the development of a web application, that allow users to find the Emergency Department that provides the best timely and effective care in a defined area. The inputs that the user must provide are a location ZIP code and a maximum radius in miles. The output is a list of ED in the defined area and each one is associated to a “timely and effective care index” that can be used as an indicator of quality care and estimate travel time to the corresponding ED.