Predictive Analytics, EHR Big Data Reduce Sepsis Mortality by 18%

At North Oaks Health System in Hammond, Louisiana, researchers have used big data from the Epic electronic health record (EHR) to develop a predictive analytics tool that has reduced sepsis mortality by 18 percent.

According to the CDC, sepsis leads to death for a quarter of a million Americans each year and causes two percent of all hospital admissions nationwide. North Oaks implemented a Clinical Care Advisory (CCA) using tools developed by Epic, which helps notify providers of patients at high risk for sepsis based on the information in their medical records. CCA runs on a predictive model in the patient’s EHR to look for signs and symptoms of the condition.

Author: Jessica Kent

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