Tens of billions of dollars are lost to healthcare fraud, waste and abuse in the United States each year. Detecting this type of activity can be challenging - it requires analysis of internal data regarding referring physicians, patients, and treatment facilities, and connecting it with relevant external data, to uncover connections between them.
In this solution brief we explore how healthcare companies can uncover waste, abuse and fraud by combining different datasets and analyzing the connections between them in depth using graph database and analytics.
TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions.
TigerGraph is the only system today that can help us make real-time care-path recommendations using knowledge of 50 million patients. Your products will have worldwide impact on making everyone’s lives better in more ways than you can imagine.