Article

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

2026-03-31

Abstract excerpt

<h4>Objectives</h4> Rare diseases often require longitudinal monitoring to characterise progression, yet much clinical information remains locked in unstructured electronic health records (EHRs). Efficient recovery of such data is critical for accurate prognostic modelling and clinical trial preparation. We aimed to develop and evaluate a small language model (SLM)-based pipeline for extracting longitudinal infor...

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Literature Corpus work: b1afeb99-d497-5c20-b134-323845abde76
DOI: 10.64898/2026.03.30.26349388

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