Case Study

Delivering predictive care for at-risk patients in their homes

Delivering predictive care for at-risk patients in their homes

Pages 2 Pages

After a hospital stay, many patients are discharged with no long-term monitoring, leaving them without proactive care while at home. The CareSage predictive analytics engine enables health systems to better monitor and care for their at-risk patient population. When used in conjuction with the Philips Lifeline with AutoAlert 1 medical alert service, CareSage predictive analytics collects and analyzes data from multiple sources, enabling clinicians to monitor, qualify and assess patient risk remotely, then intervene early to potentially avoid preventable hospitalizations. Need Care organizations need an efficient way of monitoring and prioritizing care for at-risk patients once they are discharged from hospital to home in order to help avoid emergency room visits. Solution

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