An analytics model developed by researchers from the University of Texas at Dallas shows that health information technology systems can help predict hospital readmission rates for congestive heart failure patients and to identify those high-risk patients.

Tracking patient demographic, clinical and administrative data from across 67 hospitals in North Texas during a four-year period, researchers assessed the link between hospital usage of health IT and readmission risk. From 2006 to 2010 in the Dallas-Fort Worth region, nearly 30 percent of congestive heart failure patients were readmitted within 30 days.

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