Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis.

Journal: JMIR medical informatics
PMID:

Abstract

BACKGROUND: The use of patient-reported outcome measures (PROMs) is an expected component of high-quality, measurement-based chiropractic care. The largest health care system offering integrated chiropractic care is the Veterans Health Administration (VHA). Challenges limit monitoring PROM use as a care quality metric at a national scale in the VHA. Structured data are unavailable, with PROMs often embedded within clinic text notes as unstructured data requiring time-intensive, peer-conducted chart review for evaluation. Natural language processing (NLP) of clinic text notes is one promising solution to extracting care quality data from unstructured text.

Authors

  • Brian C Coleman
    Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, 11-ACSL-G, 950 Campbell Avenue, West Haven, CT, 06516, USA. Brian.Coleman2@VA.gov.
  • Kelsey L Corcoran
    Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, 11-ACSL-G, 950 Campbell Avenue, West Haven, CT, 06516, USA.
  • Cynthia A Brandt
    Yale School of Medicine, New Haven, CT VA Connecticut Healthcare System, West Haven, CT.
  • Joseph L Goulet
    Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, 11-ACSL-G, 950 Campbell Avenue, West Haven, CT, 06516, USA.
  • Stephen L Luther
    Center of Innovation on Disability and Rehabilitation Research, Department of Health Policy and Management, James A. Haley Veterans Hospital, and the University of South Florida College of Public Health, 8900 Grand Oak Circle, Tampa, FL, 33637, USA.
  • Anthony J Lisi
    Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, 11-ACSL-G, 950 Campbell Avenue, West Haven, CT, 06516, USA.