The emergence of biomedical wireless sensors, the wide spread use of smartphones, and advanced data stream mining techniques have enabled a new generation of personal health monitoring systems. These health monitoring systems are mostly stand-alone and are not yet integrated with existing e-Health systems, which could seriously limit their large scale deployment. In this paper, we propose an architecture for data integration within an electronic health care network based on extending the

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... onal SOA approach with support for complex event processing and context awareness. This architecture also facilitates integrated business performance management against quality of care targets. A detailed health monitoring scenario for the care of cardiac patients is used to illustrate system requirements and to validate the proposed architecture. The expected benefits of our approach include a higher quality of care, reduced costs for health service providers and a higher quality of life for the patients.