All-in-one VR Medical Education Platform
Explore the new era of medical training
Our Products
STRIV
Skill Training In VR
Gain access to vast library of VR training modules that cater to the essential clinical skills requirement for undergraduate medical education. STRIV uses dual modes for training: Guided mode enables protocol-based learning and evaluation mode facilitates competency-based assessment. Our custom-designed VR lab will ensure that you'll have unlimited access to the platform throughout the year.
DIVE
Diagnose in Virtual Environment
Perfect patient care skills with our hyper-realistic and detailed patient simulations. Students can practice taking patient history, refining clinical examination techniques, and sharpening decision-making abilities. This immersive experience allows them to perfect diagnostic skills and get trained in soft skills without the pressure of real-world consequences.
Virtual Reality in Medical Training Promising Results
92% Increased Confidence Post VR Training
A 2023 study involving over 200 medical students found that 92% of participants reported increased confidence after completing VR training modules. This study highlighted VR as more effective than traditional manikin training for enhancing procedural skills.
75% Felt Better Prepared for Real-Life Procedures
A 2024 pilot study on urethral catheterization training using VR revealed that 75% of medical students and residents felt sufficiently prepared to perform real-life procedures. Many rated VR training superior to mannequin-based methods in enhancing skill and confidence.
80% Found VR Training Easy to Use
In a study focusing on the usability of VR in medical training, 80% of students found the VR interface manageable, and 55% expressed strong confidence in translating their VR-acquired knowledge to actual clinical procedures. This reflects the practical applicability and effectiveness of VR in medical education.
AI-powered Assessment & Evaluation Tools
By leveraging our AI-driven analytics, institutions can optimize the learning experience for their medical students and make data-informed decisions to enhance their education.
We are looking at improved learning behavior, performance metrics, personalized learning paths, cohort wide pattern analysis, real-time feedback, seamless evaluation and more.