Whitepapers

Predictive Strategies for Readmission Reduction: Predictive Analytics

Predictive Strategies for Readmission Reduction: Predictive Analytics

Many factors influence a patient’s readmission risk. A large number are clinical, some are socio-demographic, while others draw from appropriate and timely interactions. A key question that physicians, nurses, and healthcare executives often ask about readmissions is “Are they preventable?” In this whitepaper, you will learn how predictive analytics can improve the efficiency of care delivery and optimize patient outcomes by identifying the patients at greatest risk for readmission.

To read more about intervention strategies, including prediction, and how Diameter Health’s highly accurate prediction analytics may help you intervene effectively for your patients, download our “Predictive Strategies for Readmission Reduction” whitepaper.

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