Opportunities and challenges for biomarker discovery using electronic health record data

Trends Mol Med. 2023 Sep;29(9):765-776. doi: 10.1016/j.molmed.2023.06.006. Epub 2023 Jul 18.

Abstract

Electronic health records (EHRs) have become increasingly relied upon as a source for biomedical research. One important research application of EHRs is the identification of biomarkers associated with specific patient states, especially within complex conditions. However, using EHRs for biomarker identification can be challenging because the EHR was not designed with research as the primary focus. Despite this challenge, the EHR offers huge potential for biomarker discovery research to transform our understanding of disease etiology and treatment and generate biological insights informing precision medicine initiatives. This review paper provides an in-depth analysis of how EHR data is currently used for phenotyping and identifying molecular biomarkers, current challenges and limitations, and strategies we can take to mitigate challenges going forward.

Keywords: biomarker discovery; electronic health records; phenotyping; precision medicine.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Biomarkers
  • Biomedical Research*
  • Electronic Health Records*
  • Humans
  • Precision Medicine

Substances

  • Biomarkers