Real-time Analytics and Decision Support for Patient Flow Management

Large community hospitals and teaching hospitals in Ontario operate at congestion levels most of the time. This translates into long wait times for the patients, cancelled procedures, undue stress for the clinical staff, and inefficiency in hospital operations. In order to address the bottlenecks in patient flows, decisions are made by the clinical staff based on incomplete data which may be several hours to several days old, manually, in an ad hoc manner.