Diagnosim
How might we scale diagnostic training through immersive, resource-efficient design?
Spatial Interactive Learning Platform for Medical Students
Challenge
Recreate real-world diagnostic workflows in a spatial environment that’s intuitive, clinically accurate, and accessible for medical education purposes.
Role
This is a solo project, so I led the entire UX research and design process independently.
Working from Aug 2023 to Nov 2023.
Medical students often lack access to realistic diagnostic training due to limited patient cases and physical resources.
Focusing on diagnostic education, Diagnosim explores how mixed reality on Apple’s VisionOS can simulate immersive, scalable clinical learning.
Context
Prototype tested with 5 medical students; 100% reported improved spatial understanding of diagnostic imaging, 80% preferred the platform over traditional lecture-based review.
System usability score (SUS) averaged 76.3, indicating strong ease of use for first-time users.
Impact
During the pandemic, a friend of mine studying pre-med courses expressed how lockdowns made it even harder to gain real clinical experience. At the same time, the launch of Apple Vision Pro made me wonder:
Could mixed reality offer a better way to learn medicine—anytime, anywhere?
Diagnosim is my response to that question: a spatial simulation platform that helps students practice diagnostic imaging in immersive, realistic scenarios. It also proposes design principles for building future MR-based medical tools.