QoS Evaluation of JMS: An Empirical Approach
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
Clinical Decision Support: The Road Ahead
Clinical Decision Support: The Road Ahead
Computers in Biology and Medicine
A modular framework for clinical decision support systems: medical device plug-and-play is critical
ACM SIGBED Review - Special Issue on the 2nd Joint Workshop on High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability
Dynamic composition of medical support services in the ICU: Platform and algorithm design details
Computer Methods and Programs in Biomedicine
The enterprise service bus as integration architecture in heterogeneous systems
SEPADS'12/EDUCATION'12 Proceedings of the 11th WSEAS international conference on Software Engineering, Parallel and Distributed Systems, and proceedings of the 9th WSEAS international conference on Engineering Education
COSARA: Integrated Service Platform for Infection Surveillance and Antibiotic Management in the ICU
Journal of Medical Systems
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The importance of computer aided decision making is continuously increasing. In the ICU, medical decision support services gather and process medical data of patients and present results and suggestions to the medical staff. The medical decision support services can monitor for example blood pressure, creatinine levels or the usage of antibiotics. If certain levels are crossed, they raise alerts so that the medical staff can take appropriate actions if required. This significantly reduces the amount of data needing to be processed by the medical staff. To handle the large amount of data that is generated by the ICU on a daily basis, a platform for routing and processing this data is necessary. In this paper we propose a platform based on JAIN SLEE and an Enterprise Service Bus. The platform takes care of the routing of the data to the appropriate services and allows to easily deploy and manage services. In this paper, we present the design details and the evaluation results. Furthermore, it is shown that the platform is capable of routing and processing all the events generated by the ICU within strict time constraints.