New Crash-Prediction Technology Forecasts Injuries
‘Vehicle to medical insights’ may shed light on better care and insurance for crash victims
Imagine racing to a car wreck scene in an ambulance as a first-responder. You may know information at the surface — the number of cars and people involved and the location of the crash.
However, you do not know the extent of the injuries until you arrive at the location of the accident. When you get there, you assess those wounded and act fast with the best treatment off the top of your head.
The Israeli company, MDGo, is looking to improve this process by creating a mobile Trauma Specialist App, featuring new crash-prediction technology. This platform not only projects the vehicle’s damage, but also the victim’s injuries.
The Trauma Specialist App includes interactive dashboards for diagnosing a patient’s injuries, revisiting past collisions and evaluating the vehicle damage.
Intel before an emergency response would revolutionize a medic’s entrance as he or she arrive to treat all victims. It also could transmit better information to insurance companies in future years.
How it works
Basic and advanced sensors around the car’s cabin share information that is crucial for identifying the severity of crashes and injuries.
For instance, an interior camera can give you a view of the occupants inside the vehicle, while other advanced sensors could detect the heart rate of the individuals involved. These would aid the technology in providing helpful data to health and car insurance companies for quick insurance quotes — a move that the company claims would result in nearly a 25 percent return to the insurance company.
Sensors, like the accelerometer and GPS, would be helpful for the EMS in understanding the collision’s effect.
Since the middle of last year, MDGo has been testing this real-time crash technology within a pilot program in Israel. They have achieved a 92 percent accuracy rate when comparing the predictions to on-scene trauma investigations.
120 vehicle accidents, featuring a compatible vehicle, transmitted telematics data to the system. In eight seconds, the program system assessed the data and sent it on to the closest medical trauma facility via a smartphone app.
A solution born out of problems
The CEO and co-founder of MDGo, Itay Bengad, started the company after his trauma ward experience in medical school. There he learned that many car crash victims received incorrect care or not enough attention while on their way to the hospital.
This led him to asking a question: Could technology in cars, along with crash-structure information and biomechanical simulations of the human body, accurately predict the injuries of those involved in a collision?
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If MDGo’s attempt at using sensor-based information for health and insurance purposes accelerates forward, car accident victims may get the heroes they need, not just the ones they deserve.