Multidimensional pedagogical framework for interprofessional education: Blending classroom, high fidelity and...

Area of Science:

• Healthcare Education
• Medical Simulation
• Digital Health

Background:

• Healthcare systems are increasingly complex, necessitating enhanced interprofessional collaboration.
• Traditional interprofessional education models require innovation to meet evolving healthcare demands.
• There is a growing need for effective training in emergency care scenarios.

Purpose of the Study:

• To present a multidimensional pedagogical framework for interprofessional education.
• To integrate blended learning, high-fidelity simulation (HFS), and AI-enhanced extended reality (XR).
• To improve interprofessional competencies and emergency care preparedness among healthcare students.

Main Methods:

• A socio-constructivist and student-centered pedagogical framework was developed.
• Blended learning combined theoretical knowledge with immersive, experiential environments.
• High-fidelity simulation (HFS) and AI-enhanced XR technologies were utilized for practical skill development.

Main Results:

• The framework effectively cultivates critical thinking, decision-making, and collaborative skills through HFS.
• AI-enhanced XR fostered digital competence, emotional resilience, and situated cognition via adaptive scenarios.
• The integrated approach prepares nursing, midwifery, and medical students for high-stakes emergency situations.

Conclusions:

• The pedagogical framework enhances patient safety and learner engagement.
• It cultivates future-ready healthcare professionals equipped for digital transformation in healthcare.
• This scalable, globally relevant solution advances interprofessional learning in diverse healthcare contexts.