Extracting structured clinical data from pediatric emergency records using LLMs: A multimodel retrospective study of children with medical complexity.

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Title: Extracting structured clinical data from pediatric emergency records using LLMs: A multimodel retrospective study of children with medical complexity.
Authors: Brigiari G; Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy., Franzoi M; Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy., Piana C; Department of Women's and Children's Health, University of Padova, Padova, Italy., Quarantiello F; Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy., Zanin A; Palliative Care and Pain Service, Department of Women's and Children's Health, University of Padova, Padova, Italy., Benini F; Palliative Care and Pain Service, Department of Women's and Children's Health, University of Padova, Padova, Italy., Gregori D; Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Source: Digital health [Digit Health] 2026 May 04; Vol. 12, pp. 20552076261431431. Date of Electronic Publication: 2026 May 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2055-2076
DOI:10.1177/20552076261431431