We create scalable and highly repeatable best-practice data analysis models, using community-driven machine learning algorithms, to automatically analyze massive amounts of claim data and provide prescriptive insights and actions for every claim, in seconds. Our decision engines are 100X faster and for 60% less cost than traditional manual and point-solution approaches.see the $300M difference ❯
Our smart revenue cycle community amplifies the effects of cross-provider learning which allows us to works through problems, learn, and helps each other save time and money along the way.
Just like current community benchmarking, our smart community learns from each other by applying our decision engines in a hub approach that leverages meta-outcome learnings of each provider to drive improved process variation, risk decision, claim recommendation by making the algorithms smarter over time. Better day, better benchmarking and a community of learnings.