Workflow mining and outlier detection from clinical activity logs

► Defines a workflow mining framework for medical environments such as the OR, ICU, and PACU. ► Derives a surgical consensus from multiple activity logs from those environments. ► Detects outliers using global alignment by comparing new activity logs to the general consensus. ► The proposed algorithm is validated for laparoscopic surgery.