Detroit-based Henry Ford Health System has chosen Royal Philips for its predictive analytics engine to support the hospital system's population health efforts and improve patient satisfaction.
Philips' CareSage solution analyzes real-time and archived data from healthcare providers to focus on senior patients who have returned home following an episode of care. The predictive analytics engine identifies patients who have potential for readmission so clinicians can provide timely intervention.
In addition to Henry Ford, Philips has signed vendor contracts with seven other U.S. health systems to support an initial population of 6,500 elderly patients per month. These health systems include Carondelet Home Care in Tucson, Ariz., Roper St. Francis in Charleston, S.C., and PeninsulaRegionalMedicalCenter in Salisbury, Md.
"As we continue to work toward 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. "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."