Utilización de la Inteligencia Artificial en la educación de Enfermería: una revisión del alcance

Autores

DOI: https://doi.org/10.6018/eglobal.656071
Palavras-chave: Inteligencia Artificial, Educación en Enfermería, Estudiantes de Enfermería

Resumo

Antecedentes: Los recientes avances tecnológicos en la educación, incluida la educación en Enfermería, han dado oportunidad para la introducción de la Inteligencia Artificial en la enseñanza para incrementar la calidad de la educación y del Proceso de Enseñanza- Aprendizaje. La IA ofrece un entorno interactivo, adaptable y basado en datos que beneficien los conocimientos teóricos y la competencia clínica de los estudiantes. Aunque su posible uso incluya el aprendizaje personalizado, la retroalimentación en vivo o simulaciones inmersivas, su incorporación en la enseñanza de la Enfermería están limitadas debido a las implicaciones éticas, altos costos y falta de infraestructura. Objetivo: Describir el uso de la inteligencia artificial en la enseñanza de la Enfermería.

Métodos:  Esta revisión de alcance se organizó basándose en la metodología del Instituto Joanna Briggs, identificando el uso de la IA en la educación de Enfermería.

Resultados: Una búsqueda bibliográfica exhaustiva identificó 16 estudios relevantes entre 2020 y 2025. Los hallazgos, categorizados en tres áreas temáticas, destacaron el papel de la IA en el desarrollo de competencias, los beneficios y desafíos, y las perspectivas de los estudiantes de Enfermería.

Conclusiones: Este estudio destaca la necesidad de integrar la IA en el plan de estudios de Enfermería para preparar a los estudiantes para las cambiantes demandas de la atención sanitaria. Aunque la IA mejora el compromiso y la toma de decisiones de los estudiantes, es necesario seguir investigando para evaluar su eficacia a largo plazo y sus implicaciones éticas.

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Publicado
23-07-2025
Como Citar
[1]
Laksmi, I.A.A. et al. 2025. Utilización de la Inteligencia Artificial en la educación de Enfermería: una revisión del alcance. Enfermería Global. 24, 2 (jul. 2025). DOI:https://doi.org/10.6018/eglobal.656071.
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