With the disease prediction models in our CARE™ platform, providers can identify patients trending towards a disease or surgical procedure, contact them for early intervention, and provide care, often with better outcomes and lower costs.
Using predictive modeling and machine learning techniques, combined with the expertise of our data scientists, we have created 49 disease prediction models to provide better care for your patient population.
The predictive models in our CARE™ platform analyze billions of medical claims to identify risk factors of early disease onset or surgical procedure. With this information, diagnosis and treatment can happen earlier, potentially saving lives.
"Our algorithms evaluate de-identified patient claims records and create scores that can identify early indicators of a particular disease or the need for a surgical procedure. We then advise hospitals on how to re-identify these patients so the hospital can reach out to them for screenings," says Todd Charest, Chief Product Officer for Perception Health.