The Evangelical Lutheran Good Samaritan Society has selected IBM Big Data and Analytics technology to better manage services for clients enrolled in its [email protected] program.
The solution enables Good Samaritan Society caregivers to proactively monitor, manage and collaborate to ensure successful home-based eldercare for their clients.
With the help of sensor technology, [email protected] program promotes wellness and safety for clients in their homes, helping identify developing medical conditions before they become problems. The sensor can detect biological conditions and help determine risk factors, enabling the provider to deliver better care.
IBM’s Big Data and Analytics software helps consolidate sensor information along with clinical and operational data on patients. The data is collected 24/7 and delivered securely online via an integrated dashboard to a licensed nurse who reviews it daily.
The program’s wellness plans are Web-based and EMR neutral, and can be used regardless of care setting by clients, doctors and family members. Good Samaritan Society plans to use IBM predictive analytics to allow clinicians to predict when someone might be at risk for a health event and take steps to intervene prior to the event actually occurring.
“Partnering with IBM, we’re working to enable our clients to take control of their health and make the choice to safely stay in their homes, preventing or delaying the need for a higher level of care,” said Rustan Williams, VP and CIO at The Good Samaritan Society. “For many, this is a more affordable option and provides a much better quality of life.”
The Good Samaritan Society will also use IBM software for its bundled payments and Client Advocate program.
In future the analytics will be used for various diagnosis-related groups, modes of care, and other services to help Good Samaritan define additional cost effective care solutions to prevent readmissions and other potentially negative outcomes.
Doug Hunt, general manager of Enterprise Content Management at IBM, said, “Being able to capture and analyze data from multiple sources such as medical devices and sensors is going to help transform the kind of care that seniors can receive.”