The Athlete Management System (AMS) is a nationally available web based platform to support education and decision-making by our National Sporting Organisations (NSOs) and the National Institute Network (NIN) with the aim of improving athlete health and performance outcomes.
Manage athlete data to improve health and performance outcomes
The AMS informs performance-related decisions through:
- Establishment of data tracking, analysing and reporting against sport-defined performance metrics for every high performance athlete, squad and team;
- Increase athlete availability for training and competition through the reduction of injury and illness while also understanding the adaptation to training and travel; and,
- Providing a nationally shared framework that captures performance-related data for all of Australia’s categorised athletes in a single source.
Since its inception in 2013, AMS has been providing significant value to the Australian sporting network. By accommodating all of Australia’s NSOs and NIN onto one combined system, AMS is a cost-effective solution that allows for stronger partnerships between all disciplines across organisations. Where ever an athlete is in the world, they can access their own data and have their support team access relevant current information.
AMS captures data from a variety of sources including athlete entered questionnaires, automated integration of wellbeing and monitoring tools and purpose built custom applications. These data sources allow for further analysis that provide athletes, coaches and support staff with alerts, reports and visualisations to better facilitate communication and decision making.
Overall, the AMS allows the sporting network to combine resources while avoiding duplication to better provide data driven outcomes for sport. To date, AMS has recorded over 1,500,000 training sessions and over 300,000 injury treatments from over 10,000 athletes across 42 sporting organisations. Using this data we have been able to reduce the risk of injury and increase awareness and education to data users.