Methodology for the Teaching-Learning of Integrative Multimodal Pharmacology in the Care of Arboviroses Co-Assisted by Artificial Intelligence
Keywords:
Artificial intelligence, Medicine, Pharmacology, ArbovirosesAbstract
The teaching of Pharmacology in medical school aims to train professionals capable of integrating the molecular and physiological foundations of medications with their rational, ethical, and humanistic application in the clinical context. This challenge is heightened by the complexity of arboviral diseases, pathologies with a significant epidemiological impact in the Caribbean and Latin America. In this context, a methodology called Integrative Multimodal Pharmacology co-assisted by Artificial Intelligence (IMP-AI) is proposed. A literature review was conducted using methods of analysis, synthesis, induction, deduction, and systems thinking, along with the GPT 5 tool, in accordance with professional ethics requirements. The study concludes by stating that the methodology constitutes a pedagogical innovation that transforms the traditional teaching of Pharmacology into a dynamic, reflective and ethical process, applies Allan Carrington's Wheel of Pedagogy as a structuring framework for the integration of cognitive levels and modes of learning, introduces artificial intelligence as a co-assisting pedagogical agent, not a substitute for human thought, and trains physicians capable of thinking critically, deciding ethically and acting with clinical wisdom in the face of arboviruses.
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Abid, A., Patel, M., Singh, R., & Rahman, F. (2024). AI education for fourth-year medical students: An elective course evaluation. JMIR Medical Education, 10, e46500. https://www.doi.org/10.2196/46500
Alonso, L. A., Cruz, M. A., y Olaya, J. J. (2020). Dimensiones del proceso de enseñanza – aprendizaje para la formación profesional. Luz, 19(2), 17-29. https://luz.uho.edu.cu/index.php/luz/article/view/1032
Carrington, A. (2016). Rueda de la Pedagogía: No se trata de las aplicaciones. Sino de la Pedagogía. Education, Technology Solutions. https://educationtechnologysolutions.com/2016/06/pedagogy-whel/
Gordon, M., Daniel, M., Ajiboye, A., Uraiby, H., Xu, N. Y., & Bartlett, R. (2024). A scoping review of artificial intelligence in medical education: BEME guide no. 84. Medical Teacher, 46(4), 385–398. https://wwwdoi.org/10.1080/0142159X.2024.2314198
Hedderich, D. M., Keicher, M., Wiestler, B., Gruber, M. J., Burwinkel, H., Hinterwimmer, F., Czempiel, T., Spiro, J. E., Pinto dos Santos, D., & Heim, D. (2021). AI for doctors: A course to educate medical professionals in artificial intelligence for medical imaging. Healthcare, 9(10), 1278. https://www.doi.org/10.3390/healthcare9101278
Hernández R., Fernández, C. y Baptista, P. (2014): Metodología de la investigación. (5ta Ed.) Edamsa Impresiones S.A. de C.V.: https://www.esup.edu.pe/descargas/dep_investigacion/Metodologia%20de%20la%20investigaci%C3%B3n%205ta%20Edici%C3%B3n.pdf
Hernández, E. H., Jiménez, D., Chavarro-Aguilar, L. A., Pérez-Flórez, J. M., Romero-Tapia, Á. E., & Jaimes-Peñuela, C. L. (2025). Mapping the use of artificial intelligence in medical education: A scoping review. BMC Medical Education, (25), 526. https://www.doi.org/10.1186/s12909-025-07089-8
Jackson, P., Sukumaran, G. P., Babu, C., Tony, M. C., Jack, D. S., Reshma, V. R., Davis, D., Kurian, N., & John, A. (2024). Artificial intelligence in medical education – Perception among medical students. BMC Medical Education, (24), 804. https://www.doi.org/10.1186/s12909-024-05760-0
OpenAI. (2025). Modelo de IA GPT 5 Profesional. [software]. https://chat.openai.com
Ramírez, C. D., Alvarenga-Somoza, G., Olivares-Guzmán, N. E., Cárcamo-Trinidad, M. M., & Salamanca-Reyes, A. G. (2025). Avances en el uso de inteligencia artificial en la educación médica latinoamericana. Alerta, Revista Científica del Instituto Nacional de Salud, 8(1), 88–95. https://www.doi.org/10.5377/alerta.v8i1.19194
Salas, S. Z., Luján, J., Corrales, N., & Pérez, R. (2022). Artificial intelligence applications in Latin American higher education: A review. International Journal of Educational Technology in Higher Education, 19. https://www.doi.org/10.1186/s41239-022-00326-w
Sarkar, M., G?man, M.-A., Puyana, J. C., & Bonilla-Escobar, F. J. (2024). Artificial intelligence in medicine and medical education: A narrative review. International Journal of Medical Students, 12(1), 55–63. https://www.doi.org/10.5195/ijms.2024.2626
Torres, C., Medina, M., & González-Ramos, L. (2025). Inteligencia artificial en la formación médica: Riesgos y desafíos en estudiantes de medicina en Latinoamérica. Pediatría (Asunción), 52(1), 5–6. https://www.doi.org/10.31698/ped.52032025002
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