Magdalena Z. Raban, Alison Merchant, Erin Fitzpatrick, Melissa T. Baysari, Ling Li, Peter J. Gates, Johanna I. Westbrook
{"title":"Understanding technology-related prescribing errors for system optimisation: the Technology-Related Error Mechanism (TREM) classification","authors":"Magdalena Z. Raban, Alison Merchant, Erin Fitzpatrick, Melissa T. Baysari, Ling Li, Peter J. Gates, Johanna I. Westbrook","doi":"10.1101/2024.09.02.24312874","DOIUrl":null,"url":null,"abstract":"<strong>Objectives</strong> Technology-related prescribing errors curtail the positive impacts of computerised provider order entry (CPOE) on medication safety. Understanding how technology-related errors occur can inform CPOE optimisation. Previously, we developed a classification of the underlying mechanisms of technology-related errors using prescribing error data from two adult hospitals. Our objective was to update the classification using paediatric prescribing error data, and to assess the reliability with which reviewers could independently apply the classification.","PeriodicalId":501454,"journal":{"name":"medRxiv - Health Informatics","volume":"79 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.02.24312874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives Technology-related prescribing errors curtail the positive impacts of computerised provider order entry (CPOE) on medication safety. Understanding how technology-related errors occur can inform CPOE optimisation. Previously, we developed a classification of the underlying mechanisms of technology-related errors using prescribing error data from two adult hospitals. Our objective was to update the classification using paediatric prescribing error data, and to assess the reliability with which reviewers could independently apply the classification.