The growing complexity of healthcare systems and the imperative for collaborative practice underscore the pressing need to innovate interprofessional education. This paper presents a multidimensional pedagogical framework that integrates blended classroom-based learning, high-fidelity simulation (HFS), and AI-enhanced extended reality (XR) technologies to develop interprofessional competences and improve preparedness for emergency care. Grounded in socio-constructivist and student-centred educational theories, the approach combines theoretical knowledge acquisition with immersive and experiential learning environments that reflect the realities of clinical practice. HFS provides a controlled setting to cultivate critical thinking, decision-making, and collaborative skills. In parallel, AI-enhanced XR introduces adaptive, gamified scenarios that foster digital competence, emotional resilience, and situated cognition. Together, these elements form a cohesive educational strategy that prepares nursing, midwifery, and medical students for high-stakes clinical situations such as anaphylaxis and trauma care. The framework contributes to enhanced patient safety, learner engagement, and the cultivation of future-ready professionals. It also responds to international calls for digital transformation and innovation in healthcare education. By harmonising traditional teaching methods with emerging technologies, this framework offers a globally relevant, scalable solution for advancing interprofessional learning across diverse healthcare contexts.
Keywords: Artificial intelligence; Extended reality; Interprofessional; Learning; Pedagogical framework; Simulation.
Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.