A machine learning algorithm has been developed by researchers at the University of Pennsylvania Health System to identify hospitalized patients most at risk for severe sepsis or septic shock by leveraging electronic health records, and then using the EHR to alert care teams.

“One of the major causes of preventable mortality in hospitals is sepsis. And, there’s some evidence that sepsis is not recognized as early as it could be,” says Craig Umscheid, MD, associate professor of medicine and epidemiology at the University of Pennsylvania Perelman School of Medicine. “There’s also good evidence that the sooner you recognize sepsis and initiate effective treatment, the better the outcome.”

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