Resumen de la tarea de ClinAIS en IberLEF 2023Identificación Automática de Secciones en Documentos Clínicos en Castellano

  1. Gojenola Galletebeitia, Koldo
  2. Atutxa Salazar, Aitziber
  3. De la Iglesia, Iker
  4. Vivó, María
  5. Chocrón, Paula
  6. Maeztu, Gabriel de
Zeitschrift:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Datum der Publikation: 2023

Nummer: 71

Seiten: 289-299

Art: Artikel

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Andere Publikationen in: Procesamiento del lenguaje natural

Zusammenfassung

La tarea ClinAIS organizada por IOMED y el centro HiTZ tiene como objetivo abordar la identificación de siete tipos de secciones dentro de registros clínicos no-estructurados en español. Estos registros, conocidos como Narrativas Clínicas Electrónicas (ECNs), almacenan información crucial acerca de la salud personal. Sin embargo, la falta de estandarización en los formatos plantea desafíos en el desarrollo y evaluación de sistemas automatizados para el análisis de documentos clínicos. Veintisiete participantes se registraron para la tarea, de los cuales cinco presentaron resultados. Este artículo presenta los resultados y metodologías utilizadas en la tarea ClinAIS, contribuyendo al avance del análisis de notas clínicas y su aplicación en la mejora de la toma de decisiones en la atención médica y el cuidado al paciente.

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Fuente de los datos: Dialnet