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Mercy Medical Center lowers rates of readmissions by more than 20% with new artificial intelligence capabilities


Mercy Medical Center lowers rates of readmissions by more than 20% with new artificial intelligence capabilities

Mercy Medical Center has lowered rates of all-cause readmissions by more that 20 percent through the application of Jvion’s Cognitive Machine solution. Mercy is effectively leveraging Jvion’s Artificial Intelligence (AI) technology to enhance quality improvement efforts and care quality.

“Over the last 18 months, we have seen a sustained 20 percent drop in readmission rates,” said Paul Hiltz, chief executive officer at Mercy Medical Center. “This drop and the improvements in quality that we have realized are attributed to the implementation of Jvion’s Cognitive Machine and the commitment of our staff to continually improve the patient care experience.”

Incorporating the AI capabilities delivered by Jvion is part of an overarching strategy within Mercy Medical Center to optimize care, lower rates of avoidable events and ensure the highest levels of quality. Jvion Cognitive Machine outputs are integrated directly into Mercy Medical Center’s electronic health records (HER) and current clinical workflow. Bedside nurses and care coordinators access patient-specific insights on the risk of a readmission, the factors driving that risk, and the interventions that will have the greatest impact on reducing the likelihood that a patient will return to the hospital. These insights are actioned and documented by care givers, who use the Cognitive Machine’s insights to develop individualized care and discharge plans.

“Empowering our nurses with the information they need to better focus and coordinate efforts helps improve care quality and the satisfaction of our nursing staff,” said Barbara Yingling, RN, chief nursing officer for Mercy Medical Center. “The implementation of Jvion’s Cognitive Machine is contributing to enhanced communication across our teams while focusing the right care to the right patients at the right time.”

“The Jvion machine is helping Mercy Medical Center improve the health of the people and communities we serve while delivering an AI asset that will support our organization today and into the future,” said Hiltz. “We have realized more than $4 million in avoided costs because of the actions taken by our care givers to lower readmission rates. That is money that we can reinvest in our communities and our hospital to further improve care.”

Building on the success realized with all-cause readmissions, Mercy Medical Center plans to expand the application of the Cognitive Machine to other areas of need. These include driving down rates of no-show appointment within their ambulatory clinics, reducing rates of avoidable admissions, further optimizing patient discharge, and driving preventative care for Mercy Medical Center’s employees.

About Jvion
Jvion delivers healthcare’s only Cognitive Clinical Success Machine. Using Eigen-based technology, the machine does what simple predictive analytics or machine learning models cannot. It goes beyond high-risk patient populations to identify those on a trajectory to becoming high risk. It determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established Eigen Spheres to drive intelligence across hospitals, populations, and patients.

Mercy Medical Center is a ministry of the Sisters of Charity Health System.


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