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ABSTRACT: Importance
Organizations use health-related social needs (HRSN) information to identify patients in need of referrals, to increase clinician awareness, to improve analytics, and for quality reporting.Objective
To contrast the performance of screening questionnaires, natural language processing (NLP) of clinical notes, rule-based computable phenotypes, and machine learning (ML) classification models in measuring HRSNs.Design, setting, and participants
This cross-sectional study assessed 4 measurement approaches for 5 HRSNs in parallel. Each approach was treated as a screening test. Data included notes from adult patients treated at primary care clinics in 2 health systems in Indianapolis, Indiana, from January 2022 to June 2023. Data were analyzed from December 2024
SUBMITTER: Vest JR
PROVIDER: S-EPMC12362220 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature