This chapter explains how metaverse technology, a form of spatial computing is revolutionizing clinical supervision and Interprofessional Education and Collaborative Practice (IPECP) in healthcare education and practices. Metaverse-based IPECP will mitigate most of the challenges faced in traditional clinical training. The most common obstacles are geographical constraints, scheduling conflicts, and limited access to expert mentorship. Spatial computing integrating virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), the metaverse creates immersive, interactive learning environments that enable educators and learners interact with and manipulate virtual objects in a 3D environment as if they were real. It supports real-time collaboration, simulation-based training, and personalized learning, encourages deep learning, collaboration, and competency among healthcare learners. Metaverse platforms offer scalable and cost-effective training solutions, enabling virtual simulations of clinical procedures, patient interactions, and emergency response scenarios. This chapter also proposes a structured approach for developing metaverse-based IPECP curricula using Reeves’ Design-Based Research (DBR) (2006) model and AI-driven adaptive learning. The DBR model provides a structured methodology in providing future technological and innovative solution, while metaverse technology becomes a perfect partner in bridging theory and practice. This will ensure healthcare professionals are better prepared for clinical challenges; further research is necessary to optimize its implementation and address current limitations.

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Integrating Metaverse Technology to Enhance Clinical Supervision in IPECP

  • Amutha Navamoney,
  • Sivalingam Nalliah

摘要

This chapter explains how metaverse technology, a form of spatial computing is revolutionizing clinical supervision and Interprofessional Education and Collaborative Practice (IPECP) in healthcare education and practices. Metaverse-based IPECP will mitigate most of the challenges faced in traditional clinical training. The most common obstacles are geographical constraints, scheduling conflicts, and limited access to expert mentorship. Spatial computing integrating virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), the metaverse creates immersive, interactive learning environments that enable educators and learners interact with and manipulate virtual objects in a 3D environment as if they were real. It supports real-time collaboration, simulation-based training, and personalized learning, encourages deep learning, collaboration, and competency among healthcare learners. Metaverse platforms offer scalable and cost-effective training solutions, enabling virtual simulations of clinical procedures, patient interactions, and emergency response scenarios. This chapter also proposes a structured approach for developing metaverse-based IPECP curricula using Reeves’ Design-Based Research (DBR) (2006) model and AI-driven adaptive learning. The DBR model provides a structured methodology in providing future technological and innovative solution, while metaverse technology becomes a perfect partner in bridging theory and practice. This will ensure healthcare professionals are better prepared for clinical challenges; further research is necessary to optimize its implementation and address current limitations.