Human-centered AI tool to improve sepsis management can identify missing information

A proposed artificial intelligence tool to support clinician decision-making about hospital patients at risk for sepsis has an unusual feature: It can account for its lack of certainty and suggest what demographic data, vital signs and lab test results it needs to improve its predictive performance. The system, called SepsisLab, was developed based on feedback from doctors and nurses who treat patients in the emergency departments and ICUs where sepsis, the body’s overwhelming response to an infection, is most commonly seen. They reported dissatisfaction with an existing AI-assisted tool that generates a patient risk prediction score using only electronic health Read More