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Developing and Integrating Virtual Reality Courses in Medical Education: Tutorial and Implementation Guideline
Marvin Mergen1, Anna Junga2, Henriette Schulze2
1Department of Pediatric Oncology and Hematology, Faculty of Medicine, Saarland University, Homburg, Germany.
JMIR Medical Education
|May 1, 2026
Summary
This tutorial offers best practices for developing AI-supported virtual reality (VR) training platforms in medical education. It provides a blueprint for educators and developers to integrate immersive VR courses effectively, addressing challenges like cost and technical complexity.
Area of Science:
- Medical Education Technology
- Virtual Reality Applications
- Artificial Intelligence in Healthcare Training
Background:
- Virtual Reality (VR) offers immersive, risk-free training for medical students, enhancing clinical reasoning and procedural skills.
- Implementation challenges include high costs, technical complexity, and the need for interdisciplinary collaboration.
- The medical tr.AI.ning project aimed to develop an AI-supported VR platform for clinical decision-making practice.
Purpose of the Study:
- To present key insights and best practices for planning, developing, and integrating VR courses into medical curricula.
- To provide a practical blueprint for educators and developers based on the medical tr.AI.ning project.
- To guide the effective, evidence-based, and sustainable integration of AI-supported VR into medical education.
Main Methods:
- Structured the paper as a tutorial with recommendations illustrated by project examples.
- Emphasized interdisciplinary collaboration involving medical didactics, computer science, and design experts.
- Incorporated iterative development, continuous feedback, pilot testing, and user engagement for refinement.
Main Results:
- Identified critical success factors: clear learning objectives, competency-based alignment, and iterative feedback loops.
- Developed an authoring tool enabling medical teachers to create VR scenarios without technical expertise.
- Highlighted the importance of strategic planning, hardware selection, and sustainable dissemination strategies.
Conclusions:
- Successful VR integration requires strategic planning, interdisciplinary collaboration, and systematic evaluation.
- AI-supported VR platforms can enhance medical training by providing immersive, interactive clinical decision-making practice.
- The tutorial provides a comprehensive guide for implementing and scaling VR courses in medical education.
