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IA generativa en sesiones informativas de simulación: un estudio exploratorio utilizando el marco Team-FIRST y
David W Tscholl1, Max Ebensperger2, Arend RahrischRahrisch1
1Institute for Anesthesiology and Perioperative Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Advances in simulation (London, England)
|January 30, 2026
Resumen
La inteligencia artificial (IA) generativa puede ayudar en las sesiones informativas de simulación médica analizando la comunicación del equipo y proporcionando retroalimentación. Sin embargo, la supervisión humana es crucial debido a la IA
Área de la Ciencia:
- Tecnología de Educación Médica
- Inteligencia Artificial en Atención Médica
- Entrenamiento Basado en Simulación
Sus antecedentes:
- La educación basada en simulación requiere sesiones informativas efectivas para un aprendizaje óptimo.
- Los facilitadores enfrentan desafíos en la observación de las interacciones del equipo debido a la carga cognitiva y al sesgo.
- La IA generativa ofrece potencial para analizar la comunicación y apoyar la sesión informativa en simulaciones médicas.
Objetivo del estudio:
- Explorar la utilidad de las herramientas de IA generativa en la observación del trabajo en equipo durante simulaciones médicas.
- Evaluar el impacto de los informes generados por IA en los procesos de sesión informativa de simulación.
- Comprender las experiencias de los participantes y facilitadores con la IA en la simulación.
Principales métodos:
- Estudio exploratorio cualitativo que involucra análisis temático de informes generados por IA y entrevistas.
- Cuarenta y un participantes en simulaciones médicas inmersivas en el Hospital Universitario de Zúrich.
- Transcripción y análisis asistidos por IA de interacciones verbales utilizando modelos de lenguaje grandes (Isaac, ChatGPT-4o) basados en el marco Team-FIRST.
Principales resultados:
- Los informes de IA proporcionaron transcripciones y citas detalladas, lo que ayudó a la retroalimentación estructurada y a capturar observaciones perdidas.
- Las limitaciones incluyeron imprecisiones en la categorización, la atribución errónea del hablante y la falta de contexto no verbal.
- Los alumnos se mostraron optimistas sobre la eficiencia y objetividad de la IA, pero preocupados por la transparencia y los errores; se consideró esencial la supervisión humana.
Conclusiones:
- La IA generativa puede mejorar las sesiones informativas de simulación al estructurar los datos de comunicación e identificar patrones de trabajo en equipo.
- Las limitaciones actuales de la IA exigen enfoques multimodales y facilitación experta.
- La IA debe servir como una herramienta de apoyo, no como un reemplazo, en la educación basada en simulación.
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