NDLI: Improving cardiac patient flow based on complex event processing

Content Provider	IEEE Xplore Digital Library
Author	Baarah, A. Mouttham, A. Peyton, L.
Copyright Year	2011
Description	Author affiliation: School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada (Baarah, A.; Mouttham, A.; Peyton, L.)
Abstract	Event delivery architectures can collect streams of events from sensors for processing to infer critical medical events in real time. However, to address cardiac patient flow, it is critical to also incorporate business process activity events. Our work seeks to improve cardiac patient flow by integrating events from a wide spectrum of sources within a hospital using complex event processing to support fine grained monitoring of patient flow. In this paper, we use a case study from a large community hospital in Ontario, Canada to illustrate the problem and demonstrate our approach which includes: an analysis of cardiac patient flows in order to understand where the patient could be waiting; a data architecture for collecting and processing basic events from multiple sources in order to create complex events delivered to a real-time dashboard; and a detailed analysis of the complex event processing required to support fine grained monitoring.
Starting Page	1
Ending Page	6
File Size	943363
Page Count	6
File Format	PDF
ISBN	9781457710834
e-ISBN	9781457710841
DOI	10.1109/AEECT.2011.6132523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-06
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Measurement Buisness Process Management Metrics Hospitals Real Time Monitoring Cardiac Patient Flow RFID Cardiology Complex Event Processing Business Radiofrequency identification
Content Type	Text
Resource Type	Article

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