Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

ABSTRACT:

Objective

To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different disease groups, and examine population-level extraction ratio.

Methods

We developed SDoH corpora using clinical notes identified at the University of Florida (UF) Health. We systematically compared 7 transformer-based large language models (LLMs) and developed an open-source package - SODA (i.e., SOcial DeterminAnts) to facilitate SDoH extraction from clinical narratives. We examined the performance and potential bias of SODA for different race and gender groups, tested the generalizability of SODA using two disease domains including

SUBMITTER: Yu Z 

PROVIDER: S-EPMC11141428 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature