Overview

Predicting and changing the future of healthcare for the better Collecting data from diverse and often non-traditional sources, including, claims, EMRs, care management, social, environmental and economic data. Using proprietary models to accurately predict health risks, costs, adverse outcomes and health disparities, and to identify the most effective actions to mitigate and reverse adverse outcomes, costs and disparities . Identifying the most effective actions to mitigate and reverse adverse outcomes, costs and disparities. Continuously refining our models with analytics, machine learning, and artificial intelligence, combined with human validation.