Leveraging complex event processing for smart hospitals using RFID

Wen Yao, Chao Hsien Chu, Zang Li

Research output: Contribution to journalArticle

89 Scopus citations

Abstract

RFID technology has been examined in healthcare to support a variety of applications such as patient identification and monitoring, asset tracking, and patientdrug 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.

Original languageEnglish (US)
Pages (from-to)799-810
Number of pages12
JournalJournal of Network and Computer Applications
Volume34
Issue number3
DOIs
StatePublished - May 1 2011

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

Cite this