Over the past five years, the Centers for Medicare & Medicaid Services has successfully implemented a Fraud Prevention System using "big data" and predictive analytics approaches to fight fraud, waste and abuse in the Medicare fee-for-service program.
Taking "big data" mainstream has given the CMS the ability to better connect with public and private predictive analytics experts and data scientists, as well as collaborate more closely with law enforcement.
A new infographic by CMS looks at how many claims have been analyzed, the return on investment of the program and the national savings growth.
The 2016 Healthcare Benchmarks: Data Analytics and Integration assembles hundreds of metrics on data analytics and integration from hospitals, health plans, physician practices and other responding organizations, charting the impact of data analytics on population health management, health outcomes, utilization and cost.
2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network. Click here for more information.
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