Regresar

ORKO-EDU: Hybrid Intelligence for Adaptive Learning and Decision Making in Medical Education

Abstract:

Introduction: ORKO-EDU is a hybrid intelligence framework designed to enhance adaptive learning and clinical understanding among students and residents, with a special emphasis on nephrology. Objective: To identify a new paradigm for developing clinical competencies in nephrology through the implementation of the ORKO-EDU framework. Methods: The Knowledge Discovery in Databases methodology was applied to preprocess and transform educational data, create domain profiles, and generate personalized recommendations −such as case selection, practice spacing, and specific feedback− which dynamically adjust according to student confidence levels. Results: The integration of ORKO-EDU enabled reliable tutoring, despite incomplete evidence, enhancing the intentional practice of differential diagnosis skills, therapeutic modification, and patient safety. Conclusions: Preliminary assessments indicate that this approach correlates with improvements in multiple-choice test performance and objective structured clinical evaluations, a reduction in errors during simulations, and increased adherence to clinical guidelines. This provides scalable support for data-driven clinical decision-making and training.