New Possibilities in Analyzing Return on Performance in Elite Athletes: Unifying Sports Medicine

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In the past, the literature on sports medicine has discussed rates of return to sport, but lately, focus has switched to rates of performance return. The assessment and comprehension of performance among the population of elite athletes, however, has continued to advance. Recent developments in wearable technology, player-tracking devices, and sport analytics have increased our knowledge of elite athlete performance. Researchers in sports medicine should work with teams in sports science to further examine the veracity and dependability of new technology, aid in the analysis of large amounts of data, and continue to be accountable to the needs of our athletic community. Future research in sports medicine should think about addressing the needs of the elite athlete population using these in-depth, granular assessments.

As doctors look for more accurate ways to evaluate the subjective and objective effects of injury and therapy, outcomes reporting continues to develop. The return to sport rates have historically been published in the sports medicine literature; however, this metric has a ceiling effect because patients' subjective health may continue to improve even after returning to sport. Because competitive athletes have high expectations, contemporary focus has switched to looking back at past performance. For sports medicine practitioners and injury researchers, it has remained challenging to define and quantify meaningful performance. Despite the fact that early studies used the ability to compete at the same level as a proxy for performance, more recent studies have looked at patient-reported subjective ratings and conventional player statistics to assess performance after an injury.

Many professional and collegiate athletic organisations have formed sports science departments to create and implement innovative techniques for evaluating and improving an athlete's performance in order to gain a competitive advantage. This interest has resulted in statistical and technological advances that have caused an exponential growth in the amount of data being collected to assess sports performance. Sports scientists and sports medicine professionals can work together to interpret pertinent quantitative data from these sizable datasets in order to better match our professional objectives with those of our athletes.

The goal of this review is to explain how data analytics, player tracking systems, and wearable technologies have changed how we interpret sport performance. It also shows how these new metrics can be incorporated into existing sports medicine research to better meet the needs of elite athletes.

We now have a better grasp of how elite athletes perform thanks to developments in wearable technology, player tracking, and sport analytics. Researchers in sports medicine should work with teams in sports science to continue looking into the veracity and dependability of new technology, help understand huge data, and stay accountable to the needs of our athletic community. Future research in sports medicine should think about addressing the needs of the elite athlete population using these in-depth, granular assessments.