Article

Extracting Social Determinants of Health from Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model Methods

2025-11-17

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Social determinants of health (SDoH) are critical drivers of health outcomes but are often under-documented in structured electronic health record (EHR) data. Instead, SDoH are more commonly recorded in unstructured clinical notes, and unlocking this information could have far-reaching implications for advancing population health research and inform clinical decision making....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c3c18372-31e7-523f-8937-db9c2f1eb487
DOI: 10.1101/2025.11.15.25339520

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Extracting Social Determinants of Health from Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model MethodsDOI 10.1101/2025.11.15.25339520Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

MedSDoH: A Rule-Based System for Extracting Social Determinants of Health from Multi-site EHRs Based on the OHNLP FrameworkSemantic proximity Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

Large Language Models for Social Determinants of Health Information Extraction from Clinical Notes – A Generalizable Approach across InstitutionsSemantic proximity Read

Discovering Social Determinants of Health from Case Reports using Natural Language Processing: Algorithmic Development and ValidationSemantic proximity Read

Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical RecordsSemantic proximity Read

Development and Application of Natural Language Processing on Unstructured Data in Hypertension: A Scoping ReviewSemantic proximity Read

Beyond Metrics to Methods: A Scoping Review of Large Language Models for Detection of Social Drivers of Health in Clinical NotesSemantic proximity Read

Large language models for accurate disease detection in electronic health recordsSemantic proximity Read

The Transformative Potential of Large Language Models in Mining Electronic Health Records DataSemantic proximity Read

Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review.Semantic proximity Read

Longitudinal information extraction from clinical notes in rare diseases: an efficient approach with small language modelsSemantic proximity Read