Leveraging complex event processing for smart hospitals using RFID
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 e...
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sg-smu-ink.sis_research-27732017-03-03T07:09:09Z Leveraging complex event processing for smart hospitals using RFID YAO, Wen CHU, Chao-Hsien LI, Zang 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. 2011-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1774 info:doi/10.1016/j.jnca.2010.04.020 https://ink.library.smu.edu.sg/context/sis_research/article/2773/viewcontent/LeveragingComplexEventProcessingSmartHospitalsRFID_2011.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Complex event processing RFID Smart hospital Healthcare Surgery Computer Sciences Health and Medical Administration Operations and Supply Chain Management |
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Complex event processing RFID Smart hospital Healthcare Surgery Computer Sciences Health and Medical Administration Operations and Supply Chain Management YAO, Wen CHU, Chao-Hsien LI, Zang Leveraging complex event processing for smart hospitals using RFID |
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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. |
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text |
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YAO, Wen CHU, Chao-Hsien LI, Zang |
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YAO, Wen CHU, Chao-Hsien LI, Zang |
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YAO, Wen |
title |
Leveraging complex event processing for smart hospitals using RFID |
title_short |
Leveraging complex event processing for smart hospitals using RFID |
title_full |
Leveraging complex event processing for smart hospitals using RFID |
title_fullStr |
Leveraging complex event processing for smart hospitals using RFID |
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Leveraging complex event processing for smart hospitals using RFID |
title_sort |
leveraging complex event processing for smart hospitals using rfid |
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Institutional Knowledge at Singapore Management University |
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2011 |
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https://ink.library.smu.edu.sg/sis_research/1774 https://ink.library.smu.edu.sg/context/sis_research/article/2773/viewcontent/LeveragingComplexEventProcessingSmartHospitalsRFID_2011.pdf |
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