A team of students led by researchers from the Michael W. Krzyzewski Human Performance Laboratory (K-Lab) will develop an analytic and report generating web-based application to help the K-Lab reduce musculoskeletal injuries in student-athletes at Duke University. This tool will produce actionable, student-athlete-specific reports that incorporate the analysis of previous injury history and current capabilities (K-Lab assessments) in order to identify injury risk and develop individualized recommendations for injury prevention. Students will develop analytic tools and scoring criteria to assess injury risk through profiling of data based on minimally clinically important differences, injury profiles, peer group analysis, and injury risk scoring strategies based on a comprehensive set of performance metrics. Injury risk identification will be furthered enhanced by clustering data analysis around joint or tissue specific injury risk, previous injury history, and athlete capabilities (strength, flexibility, and postural stability). The final deliverable will enhance injury prevention strategies for student-athletes and other populations by bridging the analytic gap between injury risk screening and actionable injury prevention strategies.
Faculty Lead: Dr. Tim Sell
Project Manager: TBD