Extracting language information from clinical notes using large language models

doi:10.1016/j.ijmedinf.2025.106116

Extracting language information from clinical notes using large language models

2025-09-16

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Pitchaya Chairuengjitjaras

DOI：10.1016/j.ijmedinf.2025.106116

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• Developed an LLM-based NER pipeline to extract nuanced patient language status from clinical notes. • Cross-site validation (YNHH, MIMIC) showed GPT-4o strong zero-shot accuracy and LLaMA3 robust generalization. • Enables scalable, fine-grained language data extraction to support equitable, language-focused healthcare research.

Extracting language information from clinical notes using large language models

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