Grady Health System Is Working to Lower Readmissions with Jvion’s Clinical Predictions

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Grady Health System, one of the nation’s largest public academic health systems and a safety net provider serving the Atlanta community, is using Jvion’s clinical predictive solution to reduce the risk of re-hospitalization within their patient population. With Jvion and the RevEgis platform, Grady has been able to better target and support at-risk Congestive Heart Failure patients while driving value for the health system.

In the complex social and economic environment in which we deliver care, we require the kind of predictive computing power delivered through patient-centered machine learning solutions like Jvion’s to reduce suffering and help us do more for our patients.

Grady Health System (GHS) is one of the nation’s largest public academic health systems and a critical safety net provider serving the Atlanta community. GHS provides quality, cost-effective, and patient-focused care for some of the most at-need, complex patients. Through Grady Memorial Hospital six community health centers, and leading specialty centers, GHS is a vital and integral part of Atlanta and the region.

GHS is committed to “becoming the leading public academic healthcare system in the United States.” Part of this commitment rests on driving quality outcomes for each individual patient. To help support GHS’s goal, the system initiated a project leveraging predictive analytics to reduce Congestive Heart Failure (CHF) patient readmissions. This portion of the patient population is at increased risk of complications and mortality. According to a study published by the American Heart Association, close to a quarter of CHF patients discharged from an acute care facility are readmitted within 30 days.

“Within our patient population, there are many socioeconomic factors that pose challenges to preventing readmissions,” said Glenn Hilburn, Vice President, Clinical Systems for GHS. “We knew that we needed an advanced, machine learning solution that could account for the thousands of variables impacting a patient’s risk of a readmission. We needed something accurate, affordable, and effective that could be used by our practitioners at the point of care.”

GHS contracted with the leading clinical predictive analytics provider Jvion to help lower rates of CHF patient readmissions. In the seven months since GHS deployed the predictive solution, the provider has been better able to target and support this critical patient group. Hilburn said, “With the predictions delivered by the Jvion tool, our practitioners are better able to zero in on high-risk patients. This has helped us optimize our resources and shift care to individuals with CHF who carry with them the greatest likelihood of a readmission.”

“The kind of patient-centered machine learning that drives Jvion’s solution is designed to become more accurate as new data are added to the tool,” explained Todd Schlesinger, Vice President at Jvion. “The solution in place at Grady has consistently identified almost all of the at-risk patients. And we continue to drive greater accuracy and coverage with every new patient entered into our predictive machine.”

“With CMS (the Centers for Medicare & Medicaid) driving higher penalties and broader adoption of value-based models, having accurate predictions that enable prevention will be essential to ensuring sustainability,” explained Hilburn. “We have to be able to pin point those individuals who are most at-risk so that we can better align our clinical and community resources. And in the complex social and economic environment in which we deliver care, we require the kind of predictive computing power delivered through patient-centered machine learning solutions like Jvion’s to reduce suffering and help us do more for our patients.”

Going forward, GHS plans to expand the program to include all cause readmissions for the system’s full patient population. The health system is also looking to Jvion’s community prediction platform to help identify and serve rising risk individuals while they are still in the outpatient/community setting. “There is a lot of opportunity to extend the predictive solution and address other areas of patient need both inside and outside the hospital,” said Hilburn.

About Grady Health System
Grady Health System is one of the largest safety net health systems in the United States. Grady consists of the 953-bed Grady Memorial Hospital, six neighborhood health centers, Crestview Health & Rehabilitation Center, and Children's Healthcare of Atlanta at Hughes Spalding, which is operated as a Children's affiliate.

With its nationally acclaimed emergency medical services, Grady has the premier level I trauma center in the Metro Atlanta region and serves as the 911 ambulance provider for the city of Atlanta. Grady’s American Burn Association/American College of Surgeons verified Burn Center is one of only two in the state. And the Marcus Stroke and Neuroscience Center is a Joint Commission designated Advanced Comprehensive Stroke Center.

Other key services include Grady’s Regional Perinatal Center with its Neonatal Intensive Care Unit, Georgia’s first Cancer Center for Excellence, The Avon Breast Health Center, the Georgia Comprehensive Sickle Cell Center, and the Ponce de Leon Center - one of the top three HIV/AIDS outpatient clinics in the country.

About Jvion
Jvion is a healthcare technology company that develops artificial intelligence solution designed to predict and prevent patient-level disease and financial losses. The company offers a suite of machine learning enabled tools that combine clinical intelligence with the most advanced predictive capabilities to help healthcare organizations protect their revenues while improving health outcomes. Jvion’s objective is simple—stop the waste of resources and lives by predicting and stopping losses before they happen. For more information on Jvion’s suite of predictive analytic solutions, please visit http://www.jvion.com
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Allison Kavanagh
Jvion
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