Architecture of an Event Processing Application for Monitoring Cardiac Patient Wait Times

Abstract

Presented is an architecture for event processing applications that manage business processes, and the authors use a case study of monitoring cardiac patient wait times to evaluate their architecture and illustrate our approach. Event processing applications can collect streams of events from sensors for processing to infer critical medical events in real time. However, to manage business processes, it is critical to understand not only where in the hospital those events occur, but also where in the business process those events are occurring. Metrics, such as wait times, can be computed in real-time by using complex event processing to integrate and aggregate events in support of fine grained monitoring of business processes. The authors evaluate their architecture against both current practice and related works in the literature.