medExtractR: A targeted, customizable approach to medication extraction from electronic health records.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Mar 1, 2020

Abstract

OBJECTIVE: We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research datasets from electronic health records.

Authors

  • Hannah L Weeks
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Cole Beck
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Elizabeth McNeer
    Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Michael L Williams
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Cosmin A Bejan
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
  • Joshua C Denny
    Vanderbilt University, Nashville, TN.
  • Leena Choi
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

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