What we do

RARE Analytics is an evidence-based decision support tool for physical therapists that simplifies the process of using technology to identify impairments and track progress in the clinic

rare-data-base.png

Designed by clinicians and researchers with over 80 years of combined clinical experience and a passion to translate research technology and data into clinical practice

Problem

Unresolved impairments in strength, functional performance, and mechanics contribute to poor function and re-injury

33-ratio.png

33% of patients perceive their function as unacceptable up to 2 years after ACL reconstruction

25-ratio.png

25% of patients will reinjure ACL after 10 years

You can't fix what you can't see

Substantial biomechanical impairments persist despite targeted therapy

Squat

38%
squarting-1.png

3 months post-op

38% deficit in knee extensor moment during squat

Gait

40%
squarting-2.png

6 months post-op

40% deficit in knee extensor moment during gait

Drop Jump

19%
squarting-3.png

2 years post-op

19% deficit in vertical ground reaction force during a drop jump

Using traditional clinical tests, our technology provides specific and objective information regarding client progress

The RARE Solution

We simplify complex systems into digestible, actionable information

A Learning Platform

A dynamic system that evolves constantly by integrating data from both RARE Analytics' database and peer-reviewed publications

Benchmark Patient Care

Target Physical Therapy Interventions

rare-data-base-function.jpg

Contribute to Evidence-Based Practice

Clinic Centric

Efficient, Objective, Comparable

RARE Analytics provides a cost-effective and time-sensitive platform that brings innovative technology into the clinic and assists clinicians in optimizing outcomes and maximizing financial sustainability

Clinic of Choice

Objective, high-resolution data are obtained within time and resource contraints of a standard clinic

Physicians, clients, and 3rd party payors all benefit from data-driven assessments and evidence-based metrics

Seamless Integration

Common assessment techniques are enhanced by state-of-the art technologies

Step-by-step, simple instructions provide ease of use for clinicians

Economical Assessments

Standardized reports for informed dialogue with clients and patients

Objective, multi-souce data justify treatment plans

Our Team

Advisory Board

Laura Schmitt

Laura is an Associate Professor of Physical Therapy in the School of Health and Rehabilitation Sciences at Ohio State University and director of the Sports Rehabilitation and Recovery Laboratory. As a Physical Therapist, Laura's clinical experience is in orthopaedics and sports medicine with a particular emphasis in pediatrics and young adults. Her research efforts aim to understand neuromuscular control of the knee, as related to optimizing outcomes following musculoskeletal knee injury and mitigating risk of knee osteoarthritis. In particular, her work focuses on the development of evidence-based rehabilitation guidelines and strategies for return to activity following knee injury.

Stephanie Di Stasi

Stephanie is an assistant professor in the Division of Physical Therapy at The Ohio State University and research scientist in the Sports Medicine Research Institute at The Ohio State University Wexner Medical Center. Dr. Di Stasi has more than 10 years of experience designing and implementing clinical rehabilitation trials and using motion analysis technologies to understand how biomechanical factors influence function for patients with lower extremity injuries. Specifically, she works to identify the movement and muscle function impairments that negatively affect patient outcomes in order to develop effective rehabilitation strategies. Dr. Di Stasi has been a practicing physical therapist since 2003 and is committed to bringing technology to practice in a way that optimizes patient outcomes through informed, interdisciplinary clinical decision-making.

Get in touch