Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing.

ABSTRACT:

Background

Musculoskeletal pain is common in the Veterans Health Administration (VHA), and there is growing national use of chiropractic services within the VHA. Rapid expansion requires scalable and autonomous solutions, such as natural language processing (NLP), to monitor care quality. Previous work has defined indicators of pain care quality that represent essential elements of guideline-concordant, comprehensive pain assessment, treatment planning, and reassessment.

Objective

Our purpose was to identify pain care quality indicators and assess patterns across different clinic visit types using NLP on VHA chiropractic clinic documentation.

Methods

Notes from ambulatory or in-hospital chiropractic care visits from October 1, 2018 to September 30, 2019 for patients i

SUBMITTER: C Coleman B 

PROVIDER: S-EPMC10411229 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature