Claims Sciences is comprised of a team of passionate machine learning researchers dedicated to enhancing Medicare fraud detection and anomalous utilization by focusing on ACO analytics to identify fraudulent billing practices, waste, and abuse within Accountable Care Organizations. We develop advanced anomaly-detection models that utilize healthcare analytics to analyze claims and provider behavior, allowing us to surface abnormal patterns earlier and with greater precision. This helps ACOs identify high-cost outliers, prioritize investigations, and ultimately protect shared savings.
Copyright © 2026 Claims Sciences - All Rights Reserved.