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Designing smart analytical data services for a personal health framework

: Koumakis, L.; Kondylakis, H.; Chatzimina, M.; Iatraki, G.; Argyropaidas, P.; Kazantzaki, E.; Tsiknakis, M.; Kiefer, S.; Marias, K.


Maglaveras, Nicos (Ed.):
pHealth 2016, 13th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. Proceedings : 29-31 May 2016, Heraklion, Crete, Greece
Amsterdam: IOS Press, 2016 (Studies in health technology and informatics 224)
ISBN: 978-1-61499-652-1 (Print)
ISBN: 978-1-61499-653-8 (Online)
International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth) <13, 2016, Heraklion>
Fraunhofer IBMT ()

Information in the healthcare domain and in particular personal health record information is heterogeneous by nature. Clinical, lifestyle, environmental data and personal preferences are stored and managed within such platforms. As a result, significant information from such diverse data is difficult to be delivered, especially to non-IT users like patients, physicians or managers. Another issue related to the management and analysis is the volume, which increases more and more making the need for efficient data visualization and analysis methods mandatory. The objective of this work is to present the architectural design for seamless integration and intelligent analysis of distributed and heterogeneous clinical information in the PHR context, as a result of a requirements elicitation process in iManageCancer project.