Medical costs are high for consumers and very complicated difficult to calculate for hospital administrators.  Costs are based on services, tests, 3rd party inputs from device and pharmaceutical vendors, as well as a complex web of government regulations.  For the end patient and for administrators, would it be possible to integrate machine learning to get better predictions on medical costs?

Interplay® connects to several cutting-edge AI and ML engines to run cost analysis regression models for health care and medical costs, bringing huge potential benefits to hospitals, clinics, and patients. With thousands of variations in diagnosis and medical coding schema, medical cost analysis has traditionally been beyond most regression models for cost analysis.  Interplay is able to easily connect AI engines and large data sets for both training models and then run cost analysis in real-time production environments.  These applications can run predictive models based on data fields such as age, smoker, number of children, and region.

Interplay can also incorporate synthetic data to train these predictive models, thus ensuring the highest level of security and patient privacy under HIPAA regulations.  Interplay can be deployed in edge servers within hospitals, data centers, or in secure cloud environments.