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U.S. Government to use high-performance computing (HPC) clusters to analyze records of 24 million vets

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The following is from a post by Greg Slabodki at HealthDataManagement.com

The Department of Energy is leveraging high-performance computing and artificial intelligence to analyze the electronic health records—and other data—of more than 24 million veterans in an effort to improve their healthcare by developing new treatments and preventive strategies. Suicide prevention, prostate cancer and cardiovascular disease are the three priority areas for this AI-driven Big Data Science Initiative (BDSI) designed to help accelerate medical breakthroughs.

Under BDSI’s Million Veterans Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now, DOE and VA are creating a scientific computing environment that will house and provision data to researchers nationally, including access to the VA’s electronic health records that span two decades. In addition, the initiative will tap into non-VA sources of data from the Department of Defense, Centers for Medicare and Medicaid Services and the Center for Disease Control’s National Death Index.

The U.S. is currently the only country with the ability to bring together a health database of this size with supercomputers and analytics capabilities that can push the frontiers of computing and artificial intelligence.

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