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Mercy Medical Center Lowers Rates of All-Cause Readmissions by 20+% and Avoids $4M+ in Costs 

Case Study: Mercy Medical Center

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patient centric



Background

Mercy Medical Center (Mercy), part of the Sisters of Charity Health System, is a 476-bed hospital serving Southeastern Ohio. Mercy is also part of the NewHealth Collaborative, Summa Health System’s Accountable Care Organization.


Application

A Commitment to Innovative Approaches to Optimizing Care and Ensuring Quality

As one of the preeminent providers leading the industry in artificial intelligence (AI) adoption, Mercy Medical is effectively leveraging Jvion’s AI-enabled technology to optimize patient care and lower the incidence of avoidable events.

Jvion’s outputs are integrated directly into Mercy’s EHR and current clinical workflows. Bedside nurses and care coordinators tap the machine’s insights to inform discharge and care planning activities. This includes a patient’s risk, the clinical and non-clinical factors driving that risk, and the specific actions that will help reduce the risk of an avoidable adverse event.

“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.”

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

Over the course of 18 months utilizing the Jvion Machine, Mercy Medical Center realized a sustained 20 percent drop in readmission rates, which equates to more than $4M in avoided costs.

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Results

  • Sustained 20 percent drop in readmission rates over the course of 18 months (average of approximately 70 readmissions per month)
  • More than $4M in avoided costs
  • Expansion of Jvion Machine utilization to focus on additional vectors

“Over the last 18 months, we have seen a 20 percent drop in readmission rates attributed to the implementation of the Jvion Machine. We have realized more than $4M in avoided costs because of the actions taken by our caregivers to lower readmission rates. That is money that we can reinvest in our communities and our hospital to further improve care.”

Additional Resources

For more information on how Jvion’s solution can help your organization meet your goals, please contact us at contact@jvion.com.