New analytics model predicts readmission of congestive heart failure patients
Thursday, May 14, 2015 - 11:30
in Health & Medicine
Readmission of patients with chronic diseases is a growing problem, costing the U.S. health-care system about $25 billion each year. Researchers have developed a predictive analytics model that can identify congestive heart failure patients with high readmission risk and potentially help stymie those costs.