Translatable and Feasible Technological Approaches to Injury Risk Reduction

Abstract:
Athletic trainers have limited time and resources to identify athletes at higher risk of injuries and to implement established injury risk reduction programs.  This proposal will address both of these gaps through technological innovations.  First, Dr. Buckley will provide a machine learning based algorithm to stratify post-concussion musculoskeletal risk and provide a highly feasible approach to allow ATs to utilize the algorithm.  Secondly, Dr. McPherson will provide a cost effective and mobile immersive environment training program which allows athletes to complete exercise interventions outside of the lab and have sophisticated, but clinically meaningful, outcome measures available to athletic trainers.  Taken together, this proposed session will allow ATs to leverage recent technological developments to improve injury risk identification and subsequent interventions.

Learning Objectives:

• Describe the elevated risk of musculoskeletal injury following a sports related concussion.
• Apply a classification system to an athlete’s injury risk profile based on a machine learning algorithm.
• Implement and utilize a virtual reality based injury risk reduction program.

Level:
Mastery

Domain(s):
Domain 1: Risk Reduction Wellness and Health Literacy 

Orthopedic Domain(s):
Domain 3: Professional Practice

CEUs:
1.0 Category A

Keywords:
Musculoskeletal Injury; Concussion; Virtual Reality; Machine Learning

In order to earn your CEUs, you must watch the session video in its entirety and complete the assessment.

Course Expiration: 
All sessions of the NATA 76th Symposia On-Demand must be completed by October 31, 2025 at 11:59 p.m. CDT.
For full details, refer to the expiration policy on our FAQ page.