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Publication | Open Access

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

181

Citations

28

References

2014

Year

TLDR

Clinical code lists underpin EMR research, yet their absence hampers validity, replication, and cross‑study comparison, and publishing them is rarely required. To address these issues, we built an online repository where researchers can upload and download EMR clinical code lists. The repository enables researchers to validate studies, reuse and compare disease definitions, replicate database analyses, and track coding changes across platforms. Among 450 EMR primary research articles, only 5.1% provided full published code lists and 8.6% offered them on request.

Abstract

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.

References

YearCitations

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