{"title":"实现一个预测建模程序,第1部分。","authors":"Jean Calhoun, Kaye Admire, Paula Casey","doi":"10.1097/00129234-200507000-00003","DOIUrl":null,"url":null,"abstract":"<p><p>Effective predictive modeling is a powerful, statistically valid tool, which identifies individuals at increased future risk of an untoward health event. This article looks at one company's experience in developing a successful program; the issues related to an effective implementation strategy; and lessons learned during the process. The goal is to implement the right intervention, at the right time, for the right patient.</p>","PeriodicalId":74081,"journal":{"name":"Lippincott's case management : managing the process of patient care","volume":"10 4","pages":"185-9"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/00129234-200507000-00003","citationCount":"2","resultStr":"{\"title\":\"Implementing a predictive modeling program, part 1.\",\"authors\":\"Jean Calhoun, Kaye Admire, Paula Casey\",\"doi\":\"10.1097/00129234-200507000-00003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Effective predictive modeling is a powerful, statistically valid tool, which identifies individuals at increased future risk of an untoward health event. This article looks at one company's experience in developing a successful program; the issues related to an effective implementation strategy; and lessons learned during the process. The goal is to implement the right intervention, at the right time, for the right patient.</p>\",\"PeriodicalId\":74081,\"journal\":{\"name\":\"Lippincott's case management : managing the process of patient care\",\"volume\":\"10 4\",\"pages\":\"185-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1097/00129234-200507000-00003\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lippincott's case management : managing the process of patient care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/00129234-200507000-00003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lippincott's case management : managing the process of patient care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/00129234-200507000-00003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementing a predictive modeling program, part 1.
Effective predictive modeling is a powerful, statistically valid tool, which identifies individuals at increased future risk of an untoward health event. This article looks at one company's experience in developing a successful program; the issues related to an effective implementation strategy; and lessons learned during the process. The goal is to implement the right intervention, at the right time, for the right patient.