Medical costs are high for consumers and challenging to calculate accurately for hospital administrators. Costs are based on services, tests, 3rd party inputs from device and pharmaceutical vendors, and complex government regulations. For patients and administrators, it is now possible to integrate machine learning to get better predictions on medical costs, with Interplay®.
Interplay connects to cutting-edge AI and ML engines to run cost analysis regression models for health care and medical costs, offering substantial benefits to hospitals, clinics, and patients. With thousands of diagnoses and medical coding schema variations, medical cost analyses have traditionally been beyond most regression models. Interplay can easily connect AI engines and large data sets for training models and run cost analyses in real-time production environments. These applications can run predictive models based on demographic data fields such as age, smoking use, number of children, region, etc.
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 secure cloud environments.