Abstract
Patient self-management is often considered as an important prerequisite towards effective healthcare. This viewpoint has recently been demonstrated by the introduction and adoption of approaches and tools, such as the Personal Health Record (PHR). In the current work, the design of a mobile personal health system for logging information corresponding to the patient status and sharing it within social networks is presented. By utilizing event-driven patterns, the pervasive sharing of the recorded information is enabled, under conditions specified by the mobile user. This “anytime-anywhere” information sharing may be valuable to senders (i.e. patients) and receivers (e.g. relatives, healthcare professionals, similar patients, etc.) in terms of emotional support, mutual understanding, sharing of experiences, seeking of advice and improved self-tracking. A prototype is implemented on a mobile device illustrating the feasibility and applicability of the presented work by adopting unobtrusive health monitoring with a wearable multi-sensing device, a Service Oriented Architecture (SOA) for handling communication issues, and popular micro-blogging services.
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Triantafyllidis, A.K., Koutkias, V.G., Chouvarda, I., Maglaveras, N. (2011). Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks. In: Novais, P., Preuveneers, D., Corchado, J.M. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent and Soft Computing, vol 92. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19937-0_18
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DOI: https://doi.org/10.1007/978-3-642-19937-0_18
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