AI May Improve Clinician Decision-Making Within ICUs

A new study indicates that an AI-based system showed the potential to support clinician decision-making in hospital intensive care units by highlighting clinician patterns. In collaboration with the University of Pittsburgh and UPMC, researchers from Carnegie Mellon University’s Human-Computer Interaction Institute (HCII) found that an artificial intelligence (AI)-based tool assisted intensive care unit (ICU) clinicians in providing treatment for sepsis. According to the Centers for Disease Control and Prevention (CDC), about 1.7 million US adults develop sepsis annually, at least 350,000 of whom die in the hospital or wind up in hospice. To gain insight into whether merging AI and treatment practices for this condition would be effective, researchers from the HCII at Carnegie Mellon University provided 24 ICU physicians from UPMC with access to a novel tool intended to assist with decision-making.