Secondary Use of EHR: Data Quality Issues and Informatics Opportunities.

Taxiarchis Botsis, Gunnar Hartvigsen, Fei Chen, Chunhua Weng
{"title":"Secondary Use of EHR: Data Quality Issues and Informatics Opportunities.","authors":"Taxiarchis Botsis,&nbsp;Gunnar Hartvigsen,&nbsp;Fei Chen,&nbsp;Chunhua Weng","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Given the large-scale deployment of Electronic Health Records (EHR), secondary use of EHR data will be increasingly needed in all kinds of health services or clinical research. This paper reports some data quality issues we encountered in a survival analysis of pancreatic cancer patients. Using the clinical data warehouse at Columbia University Medical Center in the City of New York, we mined EHR data elements collected between 1999 and 2009 for a cohort of pancreatic cancer patients. Of the 3068 patients who had ICD-9-CM diagnoses for pancreatic cancer, only 1589 had corresponding disease documentation in pathology reports. Incompleteness was the leading data quality issue; many study variables had missing values to various degrees. Inaccuracy and inconsistency were the next common problems. In this paper, we present the manifestations of these data quality issues and discuss some strategies for using emerging informatics technologies to solve these problems.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2010 ","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041534/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Summit on translational bioinformatics","FirstCategoryId":"1085","ListUrlMain":"","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

Given the large-scale deployment of Electronic Health Records (EHR), secondary use of EHR data will be increasingly needed in all kinds of health services or clinical research. This paper reports some data quality issues we encountered in a survival analysis of pancreatic cancer patients. Using the clinical data warehouse at Columbia University Medical Center in the City of New York, we mined EHR data elements collected between 1999 and 2009 for a cohort of pancreatic cancer patients. Of the 3068 patients who had ICD-9-CM diagnoses for pancreatic cancer, only 1589 had corresponding disease documentation in pathology reports. Incompleteness was the leading data quality issue; many study variables had missing values to various degrees. Inaccuracy and inconsistency were the next common problems. In this paper, we present the manifestations of these data quality issues and discuss some strategies for using emerging informatics technologies to solve these problems.

电子病历的二次使用:数据质量问题和信息学机会。
鉴于电子健康记录(EHR)的大规模部署,在各种卫生服务或临床研究中将越来越需要二次使用EHR数据。本文报告了我们在胰腺癌患者生存分析中遇到的一些数据质量问题。利用纽约市哥伦比亚大学医学中心的临床数据仓库,我们挖掘了1999年至2009年间收集的一组胰腺癌患者的电子病历数据元素。在3068例被ICD-9-CM诊断为胰腺癌的患者中,只有1589例在病理报告中有相应的疾病记录。不完整性是主要的数据质量问题;许多研究变量存在不同程度的缺失值。不准确和不一致是下一个常见问题。在本文中,我们提出了这些数据质量问题的表现,并讨论了一些利用新兴信息学技术来解决这些问题的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信