Early diagnosis, targeted interventions, and personalized care management are key to tackling healthcare’s most challenging and costly issues—chronic diseases, hospital infections, avoidable hospitalizations, and readmissions, to name just a few. Electronic medical records and other patient data, including labs, healthcare claims, and social factors, hold the promise of helping organizations avoid these issues. In order to unlock the patterns in these large data silos, better tools are needed.

ClosedLoop provides a wide array of off-the-shelf predictive models for common healthcare use cases and creates customized models to meet each organizations specific needs. The following are just a few examples of ClosedLoop’s predictive models that can be customized, trained, and deployed to provide the insights needed to change the way healthcare is delivered.