{"title":"Data Quality Management oriented to the Electronic Medical Record","authors":"P. Montaña, Adriana Marotta","doi":"10.1109/CLEI53233.2021.9640139","DOIUrl":null,"url":null,"abstract":"This article presents an experience carried out in a Uruguayan health institution to evaluate and adapt the quality of its patient data to the national requirements for integration into the National Electronic Medical Record. First, the international and national context is presented with respect to the standards and methods applied for health information. Then the process followed by the institution is described, from the initial analysis of the situation of its data to the final results of the evaluation and perspectives of an action plan to improve the quality of its data.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"313 1","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XLVII Latin American Computing Conference (CLEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEI53233.2021.9640139","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
This article presents an experience carried out in a Uruguayan health institution to evaluate and adapt the quality of its patient data to the national requirements for integration into the National Electronic Medical Record. First, the international and national context is presented with respect to the standards and methods applied for health information. Then the process followed by the institution is described, from the initial analysis of the situation of its data to the final results of the evaluation and perspectives of an action plan to improve the quality of its data.