{"title":"iOS万古霉素临床决策支持软件应用的开发与评价","authors":"William H. Spires, Amber R Wesner, R. Kidd","doi":"10.7309/jmtm.4.2.2","DOIUrl":null,"url":null,"abstract":"Background: Due to changes in treatment guidelines, traditional pharmacokinetic based dosing and existing vancomycin nomograms may not predict doses adequate for reaching the increased trough concentration goals. A novel nomogram was created to achieve the updated goals, and the nomogram was previously validated at our institution. For this study, the nomogram was converted into an iOS vancomycin clinical decision support software (CDSS) application.","PeriodicalId":87305,"journal":{"name":"Journal of mobile technology in medicine","volume":"4 1","pages":"2-11"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development and evaluation of an iOS vancomycin clinical decision support software application\",\"authors\":\"William H. Spires, Amber R Wesner, R. Kidd\",\"doi\":\"10.7309/jmtm.4.2.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Due to changes in treatment guidelines, traditional pharmacokinetic based dosing and existing vancomycin nomograms may not predict doses adequate for reaching the increased trough concentration goals. A novel nomogram was created to achieve the updated goals, and the nomogram was previously validated at our institution. For this study, the nomogram was converted into an iOS vancomycin clinical decision support software (CDSS) application.\",\"PeriodicalId\":87305,\"journal\":{\"name\":\"Journal of mobile technology in medicine\",\"volume\":\"4 1\",\"pages\":\"2-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of mobile technology in medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7309/jmtm.4.2.2\",\"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 mobile technology in medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7309/jmtm.4.2.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and evaluation of an iOS vancomycin clinical decision support software application
Background: Due to changes in treatment guidelines, traditional pharmacokinetic based dosing and existing vancomycin nomograms may not predict doses adequate for reaching the increased trough concentration goals. A novel nomogram was created to achieve the updated goals, and the nomogram was previously validated at our institution. For this study, the nomogram was converted into an iOS vancomycin clinical decision support software (CDSS) application.