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

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Goldstein, BA

Published Date

  • August 2020

Published In

Volume / Issue

  • 17 / 4

Start / End Page

  • 370 - 376

PubMed ID

  • 32589046

Electronic International Standard Serial Number (EISSN)

  • 1740-7753

Digital Object Identifier (DOI)

  • 10.1177/1740774520931211


  • eng

Conference Location

  • England