Efficient and effective treatment of chronic disease conditions requires the implementation of emerging continuous care models. These models pose several technology-oriented challenges for home-based continuous care, requiring assistance services based on collaboration among different stakeholders: health operators, patient relatives, as well as social community members. This work describes a context-aware service platform designed for improving patient quality of life by supporting care team activity, intervention and cooperation. Leveraging on an ontology-based context management middleware, the proposed architecture exploits information coming from biomedical and environmental sensing devices and from patient social context in order to automate context-aware patient case management, especially for alarm detection and management purposes. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Paganelli, F., & Giuli, D. (2007). A context-aware service platform to support continuous care networks for home-based assistance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4555 LNCS, pp. 168–177). Springer Verlag. https://doi.org/10.1007/978-3-540-73281-5_18
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