VR in healthcare is already a cutting-edge landscape and with VRSims the future of medical training begins today. Working with CHLA in collaboration with their doctors, AiSolve helped provide a hands-on training experience for medical students in a no risk virtual environment.
The future of healthcare starts here
In medicine, lives are constantly on the line and medical professionals need to be thoroughly prepared. The best technology to keep healthcare practitioners operating at peak performance is immersive VR simulation and there’s no better platform to optimise their performance than VRSims.
VRSims is an inexpensive, convenient and customisable application developed to train users for a host of healthcare activities that practicing for is expensive, time consuming and non-data driven. Artificial intelligence-powered, VRSims has a full analytics back end to help healthcare professionals measure their learning and growth so they can focus on delivering care that saves lives.
What our healthcare training provides:
- Basic and advanced technique practice
- Equipment training
- High-stakes low-frequency scenarios
- Instrument training
- Patient empathy practice
- Procedure practice
- Patient care training
- Surgery simulations
A meaningful partnership with Children’s Hospital Los Angeles AiSolve designed and developed intelligent VR simulation training modules that mimics the pressures and stresses found in a pediatric hospital when a child is experiencing a seizure or is going into shock. Module users must diagnose and treat virtual child patients while an anxious mother and demanding staff react to the users decisions.
Done in partnership with Oculus, Facebook and Bioflight, this ground-breaking intelligent VR simulation places the student in a reliable safe training space to practice over and over until they have mastered making the right diagnosis, selected the right medications to treat the patient and managed the scenario to a successful conclusion, thus ‘saving the baby.’
VRSims’ AI-powered technology features are used to respond to user reactions and record the data that is being accumulated to provide performance analysis.