Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods Article Swipe

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Yujuan Fu , Giridhar Kaushik Ramachandran , Nicholas J Dobbins , Namu Park , Michael Leu , Abby R. Rosenberg , Kevin Lybarger , Fei Xia , Özlem Uzuner , Meliha Yetişgen ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2404.00826

Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDoH are frequently studied in the Electronic Health Record (EHR), which provides a rich repository for diverse patient data. In this work, we present a novel annotated corpus, the Pediatric Social History Annotation Corpus (PedSHAC), and evaluate the automatic extraction of detailed SDoH representations using fine-tuned and in-context learning methods with Large Language Models (LLMs). PedSHAC comprises annotated social history sections from 1,260 clinical notes obtained from pediatric patients within the University of Washington (UW) hospital system. Employing an event-based annotation scheme, PedSHAC captures ten distinct health determinants to encompass living and economic stability, prior trauma, education access, substance use history, and mental health with an overall annotator agreement of 81.9 F1. Our proposed fine-tuning LLM-based extractors achieve high performance at 78.4 F1 for event arguments. In-context learning approaches with GPT-4 demonstrate promise for reliable SDoH extraction with limited annotated examples, with extraction performance at 82.3 F1 for event triggers.

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Social Determinants Of Health

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Natural language processing Social determinants of health Computer science Linguistics Medicine Public health Pathology Philosophy

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2404.00826
PDF: https://arxiv.org/pdf/2404.00826
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Cited By: 2
Related Works: 10
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DOI: https://doi.org/10.48550/arxiv.2404.00826

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Title: Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods

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Language: en

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Publication year: 2024

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Publication date: 2024-03-31

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Authors: Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetişgen

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Landing page: https://arxiv.org/abs/2404.00826

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Concepts: Natural language processing, Social determinants of health, Computer science, Linguistics, Medicine, Public health, Pathology, Philosophy

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Cited by: 2

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Citations by year (recent): 2025: 1, 2024: 1

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