Health Service Discovery and Composition in Ambient Assisted Living: the Australian Type 2 Diabetes Case Study

Published on Jan 7, 2013 in HICSS (Hawaii International Conference on System Sciences)
· DOI :10.1109/HICSS.2013.245
Davor Meersman2
Estimated H-index: 2
(Curtin University),
Fedja Hadzic12
Estimated H-index: 12
(Curtin University)
+ 2 AuthorsP. De Leenheer3
Estimated H-index: 3
(UvA: University of Amsterdam)
This paper is situated in the Ambient Assisted Living (AAL) services domain and offers a twofold contribution to the state of the art. We contribute to the health informatics domain by applying a service value network (SVN) approach to automatically match medical practice recommendations based on patient sensor data in a home care monitoring context to health services provided by a network of service providers. We contribute to the area of SVN composition by replacing current assumptions that customers are actively involved in explicating their service requirements with a more tacit approach where requirements are derived from patterns in sensor readings (and corollary diagnosis) based on validated rules on the customer side as well as on the supplier side. We demonstrate our contributions with an SVN composition based on an initial set of 493 patient profiles in the context of Type 2 Diabetes management in Australia.
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