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Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study

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Published in:Journal of Medical Internet Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Medical Internet Research
description
discipline_display Communications
discipline_facet Communications
format Online Article
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genre Journal Article
id rss_article:99028
institution FRELIP
journal_source_facet Journal of Medical Internet Research
last_indexed 2026-07-03T03:36:20.728Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
Communications
General
Communications
sub_discipline_display General
sub_discipline_facet General
subject_display Communications
General
Communications
subject_facet Communications
General
Communications
title Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
title_alt Extracción de información médica de texto clínico no estructurado usando modelos de lenguaje grandes para mejorar la interoperabilidad en atención médica: Estudio de prueba de concepto
Extraction d'informations médicales à partir de textes cliniques non structurés à l'aide de grands modèles de langage pour améliorer l'interopérabilité des soins de santé : étude de preuve de concept
Extração de Informações Médicas de Texto Clínico Não Estruturado Usando Modelos de Linguagem Grandes para Melhorar a Interoperabilidade em Saúde: Estudo de Prova de Conceito
title_auth Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
title_es_txt Extracción de información médica de texto clínico no estructurado usando modelos de lenguaje grandes para mejorar la interoperabilidad en atención médica: Estudio de prueba de concepto
title_fr_txt Extraction d'informations médicales à partir de textes cliniques non structurés à l'aide de grands modèles de langage pour améliorer l'interopérabilité des soins de santé : étude de preuve de concept
title_full Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
title_fullStr Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
title_full_unstemmed Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
title_pt_txt Extração de Informações Médicas de Texto Clínico Não Estruturado Usando Modelos de Linguagem Grandes para Melhorar a Interoperabilidade em Saúde: Estudo de Prova de Conceito
title_short Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study
title_sort extracting medical information from unstructured clinical text using large language models to enhance health care interoperability: proof-of-concept study
topic Communications
General
Communications
url https://www.jmir.org/2026/1/e92413