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Grady Health System in Atlanta has started a project to reduce congestive heart failure patient readmissions.

Up to a quarter of CHF patients discharged from an acute facility are readmitted within a month. Grady contracted with clinical predictive analytics provider Jvion to help lower rates of CHF patient readmissions.

“The kind of patient-centered machine learning that drives Jvion’s solution is designed to become more accurate as new data are added to the tool,” explained Todd Schlesinger, vice president at Jvion. “The solution in place at Grady has consistently identified almost all of the at-risk patients. And we continue to drive greater accuracy and coverage with every new patient entered into our predictive machine.”

Grady said it plans to expand the program for its full patient population.