Big Data Models Being Employed to Predict and Prevent Work-Related Injuries
“The team at NLP Logix and their predictive models has made our vision of making our big data actionable a reality.” – Brian Barth, CEO OnSite Physio
JACKSONVILLE, FL – DECEMBER 26, 2012
OnSite Physio, of Jacksonville, Florida and one of the Southeast’s largest and oldest providers of on-site physical therapy services, has chosen NLP Logix, a Jacksonville-based company that provides machine-learning as a service, to provide predictive modeling services to better serve their clients.
OnSite Physio has been providing physical therapy and return to work services to the worker compensation industry through a unique business model of treating the employee at the place of work rather than an outpatient clinic. This model has been proven to return an injured worker 43% faster than traditional return to work modalities.
The Company has also generated large amounts of data over the years. This information is one of the largest single sources of its type, and has been used to look back and see which treatments were most effective for given situations. Now they are using the information to take a look into the future.
“When we looked at the tremendous potential to improve the service we provide our clients by using information we have collected over the years, it was very exciting.” said Brian Barth, President and CEO of OnSite Physio “The team at NLP Logix and their predictive models has made our vision of making our big data actionable a reality.”
The initial scope of work includes using Post Offer Employment Test results to predict the potential for injury as well as future workers compensation costs.
About OnSite Physio
OnSite Physio brings together years of healthcare and rehabilitation experience in the treatment of injured workers. OnSite Physio’s unique delivery model has earned it a reputation for providing significant resources for its clients and the worker compensation industry. For more information, please visit http://www.onsite-physio.com.