UPMC’s big data approach slashes readmissions

Looking to slash your readmission rates using big data but not sure where to start? It’s best to hear the stories from the folks who have done it successfully. UPMC’s analytics team is one of groups ahead of the curve.

Pamela Peele, the chief analytics officer for UPMC’s insurance division, together with her team of 25, have done what many hospitals and payers are just beginning to do: They developed a conditional readmission model on the payer side that delivers a readmission risk prediction score before the patient even walks through the door, and then blending it with a provider-side model.

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