Through machine learning, a type of AI, the computer determines anomalous behavior. The machine really is learning, using data to create and fit a model of normal behavior, as well as identify and quantify anomalous behavior. “Normal” and “anomalous” are different for each hospital, department, and date range, and cannot have a universal definition. As a result, we rely on machine learning to develop a model for each new dataset.