Van Den Bossche Bruno, Van Hoecke Sofie, Danneels Chris, Decruyenaere Johan, Dhoedt Bart, De Turck Filip
Ghent University-IBBT, Department of Information Technology, Gaston Crommenlaan 8 bus 201, 9050 Gent, Belgium.
Comput Methods Programs Biomed. 2008 Sep;91(3):265-77. doi: 10.1016/j.cmpb.2008.05.003. Epub 2008 Jul 3.
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.
计算机辅助决策的重要性在不断提高。在重症监护病房(ICU)中,医疗决策支持服务收集并处理患者的医疗数据,并将结果和建议呈现给医护人员。医疗决策支持服务可以监测例如血压、肌酐水平或抗生素的使用情况。如果某些阈值被突破,它们会发出警报,以便医护人员在需要时能够采取适当行动。这显著减少了医护人员需要处理的数据量。为了处理ICU每天产生的大量数据,需要一个用于路由和处理这些数据的平台。在本文中,我们提出了一个基于JAIN SLEE和企业服务总线的平台。该平台负责将数据路由到适当的服务,并允许轻松地部署和管理服务。在本文中,我们展示了设计细节和评估结果。此外,结果表明该平台能够在严格的时间限制内对ICU产生的所有事件进行路由和处理。