Publication Type
Journal Article
Version
publishedVersion
Publication Date
5-2011
Abstract
RFID technology has been examined in healthcare to support a variety of applications such as patient identification and monitoring, asset tracking, and patient–drug compliance. However, managing the large volume of RFID data and understanding them in the medical context present new challenges. One effective solution for dealing with these challenges is complex event processing (CEP), which can extract meaningful events for context-aware applications. In this paper, we propose a CEP framework to model surgical events and critical situations in an RFID-enabled hospital. We have implemented a prototype system with the proposed approach for surgical management and conducted performance evaluations to test its scalability and capability. Our study provides a feasible solution to improve patient safety and operational efficiency for an RFID-enabled hospital, by providing sense and response capability to detect medically significant events.
Keywords
Complex event processing, RFID, Smart hospital, Healthcare, Surgery
Discipline
Computer Sciences | Health and Medical Administration | Operations and Supply Chain Management
Research Areas
Information Systems and Management
Publication
Journal of Network and Computer Applications
Volume
34
Issue
3
First Page
799
Last Page
810
ISSN
1084-8045
Identifier
10.1016/j.jnca.2010.04.020
Publisher
Elsevier
Citation
YAO, Wen; CHU, Chao-Hsien; and LI, Zang.
Leveraging complex event processing for smart hospitals using RFID. (2011). Journal of Network and Computer Applications. 34, (3), 799-810.
Available at: https://ink.library.smu.edu.sg/sis_research/1774
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1016/j.jnca.2010.04.020
Included in
Computer Sciences Commons, Health and Medical Administration Commons, Operations and Supply Chain Management Commons