Publication: Perspectivas Estudiantiles y Docentes sobre la IA en la Educación Sanitaria: Revisión Sistemática Exploratoria
Authors
Jerez Yañez, Oscar ; Kim, Jimin ; Bonilla Mejia, Juan ; Montalvo, Faviana ; Veas Romero, Micael
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Publisher
Universidad de Murcia: Servicio de Publicaciones
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DOI
https://doi.org/10.6018/edumed.633811
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info:eu-repo/semantics/article
Description
Abstract
El proceso de enseñanza y aprendizaje en la Educación Médica evoluciona con los avances tecnológicos. La Inteligencia Artificial (IA) se ha convertido en una herramienta cada vez más utilizada en el aprendizaje de estudiantes. Sin embargo, su implementación es cuestionada por docentes y alumnos de carreras relacionadas al ámbito sanitario. En esta revisión sistemática exploratoria (scoping review), se examinaron las percepciones, oportunidades y desafíos de estudiantes de pregrado de carreras de salud en relación a la implementación de la IA. Siguiendo las guías PRISMA, se realizaron búsquedas en MEDLINE/PubMed, Scopus y ISI/Web of Science por artículos pertinentes; se eliminaron artículos duplicados y se seleccionaron de acuerdo a nuestros criterios de elegibilidad. De los 121 estudios seleccionados, 14 se incluyeron en el estudio; Se ha realizado un análisis temático basado en categorías de los estudios seleccionados. La mayoría de los hallazgos evidencian una buena percepción, interés y disposición de los estudiantes sobre la implementación de la IA en el currículum médico. No obstante, se destaca como desafío el desconocimiento de la utilidad de la IA, sumado a una resistencia al cambio por miedo a la sustitución de labores profesionales. Asimismo, Se ha planteado como desafío ético la deshumanización de la medicina. La principal limitación es la temática de investigación aún en desarrollo, con una literatura disponible aún en etapas iniciales de investigación.
The teaching and learning process in Medical Education evolves with technological advancements. Artificial Intelligence (AI) has become an increasingly utilized tool in student learning. However, its implementation is questioned by both faculty and students in health-related fields. In this scoping review, the perceptions, opportunities, and challenges of undergraduate health students regarding AI implementation were examined. Following PRISMA guidelines, searches were conducted in MEDLINE/PubMed, Scopus, and ISI/Web of Science for relevant articles; duplicate articles were removed and selected according to our eligibility criteria. Of the 121 studies selected, 14 were included in the review; a thematic analysis was conducted based on categories from the selected studies. Most findings show good perception, interest, and willingness from students regarding the implementation of AI in the medical curriculum. However, the lack of understanding of AI’s usefulness, along with resistance to change due to fear of job replacement, stands out as a major challenge. Furthermore, the ethical challenge of the dehumanization of medicine is also raised. The main limitation is that the research topic is still developing, with the available literature still in its early stages.
The teaching and learning process in Medical Education evolves with technological advancements. Artificial Intelligence (AI) has become an increasingly utilized tool in student learning. However, its implementation is questioned by both faculty and students in health-related fields. In this scoping review, the perceptions, opportunities, and challenges of undergraduate health students regarding AI implementation were examined. Following PRISMA guidelines, searches were conducted in MEDLINE/PubMed, Scopus, and ISI/Web of Science for relevant articles; duplicate articles were removed and selected according to our eligibility criteria. Of the 121 studies selected, 14 were included in the review; a thematic analysis was conducted based on categories from the selected studies. Most findings show good perception, interest, and willingness from students regarding the implementation of AI in the medical curriculum. However, the lack of understanding of AI’s usefulness, along with resistance to change due to fear of job replacement, stands out as a major challenge. Furthermore, the ethical challenge of the dehumanization of medicine is also raised. The main limitation is that the research topic is still developing, with the available literature still in its early stages.
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Citation
Jerez Yañez, O., Kim, J., Bonilla Mejia, J., Montalvo, F., & Veas Romero, M. (2025). Perspectivas Estudiantiles y Docentes sobre la IA en la Educación Sanitaria: Revisión Sistemática Exploratoria. Revista Española De Educación Médica, 6(2).
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