Telecare (tele-home-care) provides a recognized solution to control an increase of medical expenses caused by an increasing proportion of elderly and chronically ill people [1]. As well described already by Doughty et al. [2], the modern telecare solutions should be able to monitor of slow deterioration of well-being and discover health risks early. It is believed that discovery of slight deviations in health condition requires, additionally to medical parameter measurements, lifestyle-monitoring as outlined by Barnes [3]. Long term patient, especially such requiring lifestyle monitoring, causes significant increase of amount of data gathered and its handling involution that is usually not addressed on system architecture level in complex way. From one side, the existing telecare solutions are designed as classical data acquisition systems not providing flexibility to add context information. From the other side - which is more important - if the context information is provided in human readable way or binary encoded, it is not machine processable outside of a single institution. Present paper describes content centric software architecture for telecare systems that simplifies machine processing of patient and context information through the semantic representation of data and semantic reasoning.
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