Formula one technology to be used in medical to train surgeons
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Formula one technolgy

Formula one technology to be used in medical to train surgeons

Formula one technology has occupied the pinnacle of the motorsport pyramid, and has played a significant role in the advancement of road car technology, and the new car engines to ensure that this will continue in future.

Last Sunday, there was plenty of drama at the Monaco Grand Prix, where driver Nico Rsoberg of Mercedes stood at first place from teammate-Lewis Hamilton, late in the car race. At the time of car racing event, plenty of action took place, where drivers analyze and transmit data to their teammates, before and during racing, to plot good strategies.

McLaren Woking-based (UK), a well-known name in F1 technology, and is aiming to use their know-how in real-time data that helps surgeons for gauging their medical performance.

Dr. Caroline Hargrove, Technical Director of McLaren Applied Technologies (MAT) - a subsidiary of the McLaren Technology Group explained that around 100s of sensor are infixed into F1 race cars, and stream torrents of live data to engineers, which help them to make real-time decisions to optimized race strategy. But, now, MAT is applying this expertise in medical profession to train and gauge the medical performance of surgeons.

Last month, McLaren announced joint partnership with the University of Oxford to enhance key medical services by developing decision support and analysis tools. The partnership hauls on McLaren’s expertise in data management, predictive analysis, and simulation technology, staring with 50 surgeons, with ones that are trained and others that are experienced surgeons.

Dr. Hargrove explained about the functioning of F1 technology in the operating room, where she stated that a sensor will be placed in a surgeon’s elbow, while they operate, where a stream data will be sent via Bluetooth technology to feed the information in computer. The data sent will be analyzed in real-time for reverting immediate feedback on a surgeon.

The perspective data feed in the system, and gathered from sensors that were placed on patients- during pre-operation and post-operation, this collected data can be monitored from a patient, at home days or before a surgery, to view whether the patient’s body is fit for a procedure, or they will need more time to get into better physical condition.

Hargrove said that there are certain features that differentiate a great surgeon, like based on speed and dexterity- how smooth or jerky is their movement when they operate a patient. Thus, by comparing different results of surgeons at all the stages of their training, from beginning of their training to highly experience surgeons, it predicts their improvement and measure if they are hitting their development strategies or not.

She said that this kind of analysis will not only save time in the operation theater, but also a good for training a new surgeon. Thus, by providing feedback to surgeons on their early stage of development, it helps to determine them, if in reality surgery is the best fit for their chosen expertise.

Hargrove said that their partnered effort with the University of Oxford is in beta testing phase, but ultimately; McLaren may want to commercialize it soon. She points out the value of a potential database based on qualitative assessments from surgeries on 1000s of patients.

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