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June 18, 2014PLoS ONE192 citationsOpen Access

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

DSDavid A. SpringateEKEvangelos KontopantelisDADarren M. Ashcroft

Key Points

  • This research aims to develop an online repository for clinical codes to enhance the validity and reproducibility of studies using electronic medical records.
  • Sampled 450 primary research articles indexed on PubMed for clinical code availability.
  • Assessed the frequency of published clinical codes accompanying studies.
  • Established an online repository for sharing clinical codes among researchers.
  • Only 19 (5.1%) of EMR studies published complete clinical code lists.
  • 32 (8.6%) mentioned code lists available upon request.
  • The repository facilitates better validation, comparison, and replication of EMR studies.

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.

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Cite This Study

Springate et al. (2014) studied this question.

synapsesocial.com/papers/6a0e1c22f8c10024cd27a3d8https://doi.org/10.1371/journal.pone.0099825
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