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Five analytic challenges in working with electronic health records data to support clinical trials with some solutions.

Publication ,  Journal Article
Goldstein, BA
Published in: Clin Trials
August 2020

Electronic health records data are becoming a key data resource in clinical research. Owing to issues of data efficiency, electronic health records data are being used for clinical trials. This includes both large-scale pragmatic trails and smaller-more focused-point-of-care trials. While electronic health records data open up a number of scientific opportunities, they also present a number of analytic challenges. This article discusses five particular challenges related to organizing electronic health records data for analytic purposes. These are as follows: (1) data are not organized for research purposes, (2) data are both densely and irregularly observed, (3) we don't have all data elements we may want or need, (4) data are both cross-sectional and longitudinal, and (5) data may be informatively observed. While laying out these challenges, the article notes how many of these challenges can be addressed by careful and thoughtful study design as well as by integration of clinicians and informaticians into the analytic team.

Duke Scholars

Published In

Clin Trials

DOI

EISSN

1740-7753

Publication Date

August 2020

Volume

17

Issue

4

Start / End Page

370 / 376

Location

England

Related Subject Headings

  • Statistics & Probability
  • Research Design
  • Pragmatic Clinical Trials as Topic
  • Patient Selection
  • Longitudinal Studies
  • Humans
  • Electronic Health Records
  • Data Collection
  • Cross-Sectional Studies
  • Clinical Trials as Topic
 

Citation

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ICMJE
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Goldstein, B. A. (2020). Five analytic challenges in working with electronic health records data to support clinical trials with some solutions. Clin Trials, 17(4), 370–376. https://doi.org/10.1177/1740774520931211
Goldstein, Benjamin A. “Five analytic challenges in working with electronic health records data to support clinical trials with some solutions.Clin Trials 17, no. 4 (August 2020): 370–76. https://doi.org/10.1177/1740774520931211.
Goldstein, Benjamin A. “Five analytic challenges in working with electronic health records data to support clinical trials with some solutions.Clin Trials, vol. 17, no. 4, Aug. 2020, pp. 370–76. Pubmed, doi:10.1177/1740774520931211.
Journal cover image

Published In

Clin Trials

DOI

EISSN

1740-7753

Publication Date

August 2020

Volume

17

Issue

4

Start / End Page

370 / 376

Location

England

Related Subject Headings

  • Statistics & Probability
  • Research Design
  • Pragmatic Clinical Trials as Topic
  • Patient Selection
  • Longitudinal Studies
  • Humans
  • Electronic Health Records
  • Data Collection
  • Cross-Sectional Studies
  • Clinical Trials as Topic