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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.Objective
This study aims to test NLP approaches to identify PROMs documented in VHA chiropractic text notes.Methods</
SUBMITTER: Coleman BC
PROVIDER: S-EPMC12038758 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature