Using Predictive Analytics To Track Heart-Failure Risk
Carilion Clinic, a network of health care centers based in Roanoke, Va., wanted a more accurate way to identify patients at risk for heart failure, so it turned to Big Data analysis and electronic health records (EHRs). What’s at stake: Heart failure affects about 5.1 million U.S. adults, according to the Centers for Disease Control and Prevention. With predictive analytics, health care providers can track early signs of heart failure risk before illness strikes. In addition to saving lives, health care costs can be kept in check as doctors improve medical…
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