‘Big Data’ Could Cut Health Care Costs By $450 Billion Annually – 17% Of Spending

Health care interventions and efficiencies discovered by analyzing “big data” could cut health care spending in the United States by up to $450 billion annually. A reduction of that magnitude would represent a 17% reduction to the current $2.6 trillion in United States health care spending as of 2011. “Big data” refers to digital information gathered from diverse sources and data types that can be analyzed using advanced computing technologies to identify trends and associations. “Big data” sources that could be analyzed to impact health care spending includes the following: Biometric data, such as fingerprints, genetic information, imaging, and . . .