UC San Diego Health is on the forefront of integrating artificial intelligence into clinical and operational processes, and it’s beginning to save lives.
The health system uses an AI algorithm called COMPOSER to predict sepsis before clinical manifestations, according to a study published in January. Patients who check into the emergency department are continuously monitored for more than 150 variables that could be linked to sepsis, including lab results, vital signs, medications and more. When patients are at risk, the AI algorithm notifies nursing staff through the EHR.
“We found early detection of sepsis resulting in 20% drop of mortality in our emergency department patients with sepsis, which is really, really huge and translates to 50 lives saved on an annual basis here at UC San Diego,” said Chris Longhurst, MD, chief medical officer and chief digital officer at UC San Diego Health, said on an episode of the “Becker’s Healthcare Podcast.” “Imagine if that translated across the 300,000 lives lost every year across America.”
Keep Reading This Article at the Becker’s Hospital Review: Health IT