ClinicalCodes: An Online Clinical Codes Repository to Improve the Validity and Reproducibility of Research Using Electronic Medical Records

被引:137
作者
Springate, David A. [1 ,2 ]
Kontopantelis, Evangelos [1 ,3 ]
Ashcroft, Darren M. [4 ]
Olier, Ivan [5 ]
Parisi, Rosa [4 ]
Chamapiwa, Edmore [1 ]
Reeves, David [1 ,2 ]
机构
[1] Univ Manchester, Ctr Primary Care, Inst Populat Hlth, Manchester, Lancs, England
[2] Univ Manchester, Inst Populat Hlth, Ctr Biostat, Manchester, Lancs, England
[3] Univ Manchester, Ctr Hlth Informat, Inst Populat Hlth, Manchester, Lancs, England
[4] Univ Manchester, Manchester Pharm Sch, Ctr Pharmacoepidemiol & Drug Safety Res, Manchester, Lancs, England
[5] Univ Manchester, Manchester Inst Biotechnol, Manchester, Lancs, England
来源
PLOS ONE | 2014年 / 9卷 / 06期
关键词
PRACTICE RESEARCH DATABASE; GENERAL-PRACTICE; RHEUMATOID-ARTHRITIS; CARE; UK; VALIDATION; MORBIDITY; MORTALITY;
D O I
10.1371/journal.pone.0099825
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Lists of clinical codes are the foundation for research undertaken using electronic medical records (EMRs). If clinical code lists are not available, reviewers are unable to determine the validity of research, full study replication is impossible, researchers are unable to make effective comparisons between studies, and the construction of new code lists is subject to much duplication of effort. Despite this, the publication of clinical codes is rarely if ever a requirement for obtaining grants, validating protocols, or publishing research. In a representative sample of 450 EMR primary research articles indexed on PubMed, we found that only 19 (5.1%) were accompanied by a full set of published clinical codes and 32 (8.6%) stated that code lists were available on request. To help address these problems, we have built an online repository where researchers using EMRs can upload and download lists of clinical codes. The repository will enable clinical researchers to better validate EMR studies, build on previous code lists and compare disease definitions across studies. It will also assist health informaticians in replicating database studies, tracking changes in disease definitions or clinical coding practice through time and sharing clinical code information across platforms and data sources as research objects.
引用
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页数:6
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