Grady Health System is one of the largest safety-net systems in the U.S., with the 953-bed Grady Memorial Hospital, a six neighborhood health centers, a rehabilitation center and children’s clinic. In addition to providing $200 million in uncompensated care, it is nationally recognized for its work in stroke, burn, trauma and emergency medical services and operates Georgia’s only poison control center.
To augment its successes, Grady is now undergoing a major, multiyear makeover that includes adopting some of the most advanced predictive analytics to improve patient care.
"I think some people who know our history or know the area would be surprised we’re taking the lead with this advanced technology," said Grady Senior VP and CIO Ben McKeeby.
If the first predictive models work as intended, Grady will see 5 percent fewer annual readmissions and 10 percent fewer patients suffering from hospital-acquired conditions.
"If we can predict who is more likely to have a certain event occur or which intervention is more effective, then ... we can create the most effective treatment plans or take the more effective interventions for that particular patient," he explained.
To improve Grady's quality of care while reducing costly penalties for readmissions, the health system implemented Jvion's predictive analytics package because it was less IT resource-intensive and didn't require staff to support it into perpetuity, according to McKeeby.
"Our vision is to be the leading public academic health system in the United States," he declared. "We have some work to do, but I think this is a tool in our arsenal, so we can leverage the right combination of technology, people and processes to really get there."