Advancing Disaster Medicine through Recognition-Primed Decision Theory in Medical Education.

Authors

  • Ariel Melis Sosa Docente de la Carrera de Medicina, Universidad San Gregorio de Portoviejo, Ecuador https://orcid.org/0009-0009-0671-2723
  • Andy Hermógenes Luque Loor Docente de la Carrera de Medicina, Universidad San Gregorio de Portoviejo, Ecuador https://orcid.org/0000-0002-0381-3838
  • Paola Ceciliana Añazco Moreira Docente de la Carrera de Medicina, Universidad San Gregorio de Portoviejo, Ecuador https://orcid.org/0009-0001-7499-6141
  • José André Cedeño Orejuela Docente de la Carrera de Medicina, Universidad San Gregorio de Portoviejo, Ecuador - Docente de Posgrado en Maestría en Docencia en Ciencias de la Salud, Universidad Iberoamericana del Ecuador https://orcid.org/0009-0000-4754-0643
DOI: https://doi.org/10.6018/edumed.726161
Keywords: Recognition-Primed Decision Theory, Decision Making, Disaster Medicine, Medical Education

Abstract

Disaster medicine education faces the challenge of preparing healthcare professionals to make effective decisions under uncertainty, complexity, and time pressure. Although simulation and competency-based strategies have strengthened emergency preparedness, current approaches often emphasize procedural performance over the cognitive mechanisms underlying expert decision-making. This commentary argues that Recognition-Primed Decision (RPD) Theory provides a valuable framework for advancing disaster medicine education by promoting adaptive clinical reasoning, pattern recognition, and experience-based judgment. RPD explains how clinicians identify meaningful patterns, evaluate feasible actions, and rapidly respond to complex situations, offering educational opportunities beyond protocol memorization. Integrating RPD principles into simulation, tabletop exercises, and longitudinal curricula may strengthen disaster literacy, collaboration, situational awareness, and decision-making among healthcare learners. However, RPD should not replace analytical reasoning but rather complement reflective practice and structured feedback to support the development of adaptive expertise. Incorporating this cognitive framework into undergraduate, postgraduate, and continuing medical education may help bridge the gap between theoretical preparation and real-world emergency response, better equipping future healthcare professionals to manage increasingly complex disasters while improving patient safety and healthcare system resilience.

Downloads

Download data is not yet available.
Metrics
Views/Downloads
  • Abstract
    0
  • pdf
    0
  • Infografía (Español (Espa...
    0
  • xml (Español (España))
    0

References

1. Klein G, Calderwood R. Decision models: some lessons from the field. IEEE Trans Syst Man Cybern. 1991, 21, 1018–1026. https://doi.org/10.1109/21.120054

2. Pfenninger E, Domres B, Stahl W, Bauer A, Houser CM, Himmelseher S. Medical student disaster medicine education: the development of an educational resource. Int J Emerg Med. 2010, 3, 9–20. https://doi.org/10.1007/s12245-009-0140-9

3. Buckingham CD, Adams A. Classifying clinical decision making: interpreting nursing intuition, heuristics and medical diagnosis. J Adv Nurs. 2000, 32, 990–998. https://doi.org/10.1046/j.1365-2648.2000.t01-1-01603.x

4. Hudson D. Neuroanatomical Basis for Recognition Primed Decision Making. Stud Health Technol Inform. 2013. https://doi.org/10.3233/978-1-61499-203-5-107

5. Iserson KV. Integrating Disaster Response Tools for Clinical Leadership. West J Emerg Med. 2024, 26 (1). https://doi.org/10.5811/westjem.35390

6. Shanes A, Shecter I, Davis ME. WADEM Position Statement: Disaster Medicine Education in Health Care Profession Training. Prehosp Disaster Med. 2025, 40, 4–5. https://doi.org/10.1017/s1049023x2500010x

7. Fadde PJ. Instructional design for advanced learners: training recognition skills to hasten expertise. Educ Technol Res Dev. 2007, 57, 359–376. https://doi.org/10.1007/s11423-007-9046-5

8. Lavoie P, Deschênes M, Maheu‐Cadotte M, Lapierre A, Mailhot T, Rodriguez D, et al. Nursing students’ decision-making regarding postpartum hemorrhage: An exploration using the recognition-primed decision model. Nurse Educ Pract. 2022, 64, 103448. https://doi.org/10.1016/j.nepr.2022.103448

9. Başer A, Sofuoğlu Z. The impact of a disaster medicine clinical training program on medical students’ disaster literacy. Peerj. 2025, 13, e18800. https://doi.org/10.7717/peerj.18800

10. Zimmerman J, Khorram‐Manesh A, Robinson Y, Swolin-Eide D, Glantz V, Carlström E, et al. Proactive postgraduate education in disaster medicine and preparedness for enhanced disaster management. BMC Med Educ. 2026, 26. https://doi.org/10.1186/s12909-026-08638-5

Published
17-07-2026
How to Cite
Melis Sosa, A., Luque Loor, A. H., Añazco Moreira, P. C., & Cedeño Orejuela, J. A. (2026). Advancing Disaster Medicine through Recognition-Primed Decision Theory in Medical Education. Spanish Journal of Medical Education, 7(5). https://doi.org/10.6018/edumed.726161

Most read articles by the same author(s)