According to recent estimates, sepsis is attributable to approximately one in three hospital deaths in the United States. “Sepsis is a common and deadly condition that can be difficult to identify in the hospital because it’s a relatively heterogeneous condition and not always obvious,” explains Gabriel Wardi, MD, MPH, FACEP. “Early identification of, and treatment for, sepsis with intravenous antibiotics, fluids to correct low blood pressure, and/or surgery, if necessary, can decrease mortality and reduce time spent in the hospital.” The increased adoption of EHRs in hospitals has led to the development of machine learning-based surveillance tools to detect and predict sepsis. “There’s great interest from healthcare professionals and administrators to use artificial intelligence (AI) to improve patient-centered outcomes and reduce costs,” says Shamim Nemati, PhD. “However, AI researchers and implementation scientists are still working out the details that would ensure patient safety ...