In this article we adopt the Complex Event Processing (CEP) approach for the management of information related to patients status in the context of RFID-enabled hospitals. Our main objective is to support clinical risk management by combining data from different RFID-based appliances used to monitor patient identification, patient tracking and drugs administration control. We propose a distributed system that directly embodies essential CEP principles such as event abstraction, event aggregation and event transformation to offer a hierarchical and distributed architecture where CEP capabilities are supplied by processing nodes. Events flowing through the system levels are progressively aggregated and refined in order to produce a global scoped information. In addition, we introduce specific events patterns aimed at identifying possible dangerous patient conditions.
A distributed approach to Complex Event Processing in RFID-enabled hospitals / I. Zappia; L. Ciofi; F. Paganelli; E. Iadanza; M. Gherardelli; D. Giuli. - ELETTRONICO. - (2014), pp. 1-6. (Intervento presentato al convegno Euro Med Telco Conference 2014 - 53rd FITCE International Congress tenutosi a Naples nel Novembre 12-15, 2014) [10.1109/EMTC.2014.6996628].
A distributed approach to Complex Event Processing in RFID-enabled hospitals
ZAPPIA, IVAN;CIOFI, LUCIA;PAGANELLI, FEDERICA;IADANZA, ERNESTO;GHERARDELLI, MONICA;GIULI, DINO
2014
Abstract
In this article we adopt the Complex Event Processing (CEP) approach for the management of information related to patients status in the context of RFID-enabled hospitals. Our main objective is to support clinical risk management by combining data from different RFID-based appliances used to monitor patient identification, patient tracking and drugs administration control. We propose a distributed system that directly embodies essential CEP principles such as event abstraction, event aggregation and event transformation to offer a hierarchical and distributed architecture where CEP capabilities are supplied by processing nodes. Events flowing through the system levels are progressively aggregated and refined in order to produce a global scoped information. In addition, we introduce specific events patterns aimed at identifying possible dangerous patient conditions.File | Dimensione | Formato | |
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