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Henry Ford Taps Philips for Predictive Analytics Engine to Manage At-Risk Patients

by HITC Staff 02/09/2016 Leave a Comment

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Integrated health system Henry Ford has selected Royal Philips for its predictive analytics engine CareSage to manage their patient populations by proactively identifying at-risk patients most likely to need an emergency transport in the next 30 days, helping prevent avoidable hospitalizations. According to reports, 57% of Medicare patients are released without any direct monitoring by a healthcare professional. To resolve this, CareSage provides analysis of real-time and historical data from health care providers and Philips Lifeline’s AutoAlert technology to focus on senior patients when they return home after a hospital visit or home health care period.

The predictive analytics tool identifies patients most likely to need to be transported to a hospital within the next 30 days so clinicians can provide timely intervention. Part of Philips’ continued effort to support this population, CareSage is being built on Philips’ cloud-based HealthSuite digital platform, a multivendor, open and scalable Platform-as-a-Servicethat supports the development of connected health solutions.

Seniors use more health care per capita than any other group [1], and this will only increase as the population grows – currently five percent of patients account for 50 percent of Medicare health care spending [2]. By 2060, the number of Americans aged 65 and older is expected to be 98 million [3], and poor care transitions are a top cause of unnecessary readmissions, emergency department visits and hospitalizations of seniors. As the industry evolves toward a value-based care model, health systems are looking to use predictive analytics to extend care to the home while reducing costs and readmissions and providing better patient outcomes for this high cost group.

“As we continue to work towards improving patient care, addressing the hospitalization rates of our at-risk elderly patients is a critical step,” said Mary Hagen, e-Home Care Supervisor at Henry Ford Health System. “Working with Philips to implement predictive analytics into the home monitoring services that we offer our patients will help identify those in need of early intervention and improve how we deliver care to help patients stay out of the hospital and live independently.”

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Tagged With: Henry Ford, Predictive Analytics, Royal Phillips

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