Digital Platform Powers Population Health Management

A new predictive analytics engine helps to reduce avoidable hospitalizations of elderly patients, keeping them at home and independent.

The CareSage predictive analytics engine, the latest innovation being built on the Royal Philips (Amsterdam, The Netherlands) HealthSuite Digital Platform, is an open, cloud-based platform that supports the secure collection and analysis of health and lifestyle data from multiple sources and devices. By combining actionable insights and monitoring with Philips Lifeline wearable devices, CareSage proactively identify patients most likely to have health issues so that clinicians can intervene before problems occur, helping them stay healthier.

CareSage utilizes the Philips Lifeline AutoAlert technology and a wealth of aging and health data to focus on senior patients when they return home after a hospital visit or home health care period. The unique approach combines predictive analytics and home monitoring management and service tools that are already actively used by many consumers. By leveraging CareSage, health systems can provide better preventative care and care coordination; increase patient satisfaction; improve the quality of life issues; reduce long-term avoidable readmissions; and improve health outcomes and cost savings.

“Coming home after a hospital stay is a relief for seniors, but it also comes with potential risks. By reviewing data from CareSage's analytics and our wearable medical alert devices, health systems can predict when their at-home patients are likely to be hospitalized and intervene in advance,” said Kimberly O'Loughlin, senior vice president and general manager of home monitoring at Philips. “CareSage is another example of Philips' commitment to connected health; leveraging data, analytics and our 24x7 service monitoring capabilities to help provide health systems with the right data at the right time to help deliver care for a wide range of patient populations.”

Poor transitions in patient care are a key cause of unnecessary readmissions, emergency department (ED) visits and hospitalizations for seniors, leading to both health and cost concerns. As a result, healthcare providers are looking to provide better outcomes at lower costs by extending care into the home, where many seniors' health events occur. Seniors are thus active consumers of wearable devices, such as medical alert services, that when combined with predictive analytics could have a dramatic impact in proactively managing their health.


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