Medical cost performance is no longer a quarterly reporting conversation; it is a daily operating reality. Executives across a health plan within Finance, Care Management, Quality, Payment Integrity and Med Economics want more than trend lines: they want clarity on what’s driving cost, what’s controllable, and where leadership attention can materially improve outcomes. Yet many analytics environments are still built for retrospective explanation, not operational decision-making. The result is a widening gap between data availability and decision effectiveness.
Articles by Scott Rees
Scott has over 15 years of healthcare industry experience in consulting with extensive expertise in implementation projects for large health systems and complex consulting projects. He specializes in advanced analytics and modeling, regulatory requirements, pricing services, strategic planning and health systems revenue cycle. Scott has experience with multiple predictive modeling techniques as well as operational research / management science analytics such as time series forecasting, queuing theory, simulations and probability distributions. Prior to joining AArete, Scott worked in the healthcare practices of EY and Deloitte. Scott holds a Bachelor of Business Administration from Indiana University, a Masters in Hospital & Healthcare Facilities Administration from Indiana University, and a Masters of Business Analytics from University of Notre Dame.