Americans spent $3.65 trillion on healthcare in 2018 based on estimates from the U.S. Federal government actuaries. Healthcare companies, consequently, are exploring opportunities to contain the costs of healthcare while improving the quality of care. In order to deliver on this imperative, it’s important for all interested parties to understand the relationships among providers and members, especially as they pertain to the members’ journeys to wellness.
In this solution brief we describe how healthcare companies can leverage graph analytics to identify patterns that accelerate patients' journeys to wellness. We also examine how graph analytics can be used to improve profitability by comparing the costs of care within a community to benchmarks.
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.