Key Points
An artificial intelligence (AI) model can quickly identify patients at risk of sepsis infection and potentially help save lives, a study has found...
"Our COMPOSER model uses real-time data in order to predict sepsis before obvious clinical manifestations," said study co-author Gabriel Wardi from the University of California (UC) San Diego School of Medicine, US...
Should a patient present with multiple variables, resulting in high risk for sepsis infection, the AI algorithm will notify nursing staff via the hospital's electronic health record, the researchers said...
The nursing team will then review with the physician and determine appropriate treatment plans, they said.. "These advanced AI algorithms can detect patterns that are not initially obvious to the human eye," said study co-author Shamim Nemati, an associate professor at UC San Diego School of Medicine...
The model is able to identify complex and multiple risk factors, which are then reviewed by the health care team for confirmation, the researchers said.. "It is because of this AI model that our teams can provide life-saving therapy for patients quicker," Wardi added...
