Improvements to PTSD quality metrics with natural language processing.

Journal: Journal of evaluation in clinical practice
PMID: 34028937

Abstract

RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availability of structured electronic medical record (EMR) data, clinicians are asked to perform documentation using tools that facilitate data capture. These tools may not be available, feasible, or acceptable in all clinical scenarios. Alternative methods of assessment, including natural language processing (NLP) of clinical notes, may improve the completeness of quality measurement in real-world practice. Our objective was to measure the quality of care for a set of evidence-based practices using structured EMR data alone, and then supplement those measures with additional data derived from NLP.

Authors

  • Brian Shiner
    White River Junction VA Medical Center, White River Junction, VT, USA.
  • Maxwell Levis
    White River Junction VA Medical Center, White River Junction, VT, USA.
  • Vincent M Dufort
    Veterans Affairs Medical Center, White River Junction, Vermont, USA.
  • Olga V Patterson
    VA Salt Lake City Health Care System.
  • Bradley V Watts
    Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
  • Scott L DuVall
    VA Salt Lake City Health Care System.
  • Carey J Russ
    Veterans Affairs Medical Center, White River Junction, Vermont, USA.
  • Shira Maguen
    San Francisco VA Health Care System, San Francisco, CA, USA. Shira.Maguen@va.gov.

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