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Provenance-aware pervasive computing in clinical applications

Research output: Chapter in Book/Report/Conference proceedingConference paper

Yevgeniya Kovalchuk ; Yuhui Chen ; Simon Miles ; Shao Fen Liang ; Adel Taweel

Original languageEnglish
Title of host publication2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
PublisherIEEE
Pages297-302
Number of pages6
ISBN (Print)9781479904280
DOIs
StatePublished - 1 Dec 2013
Event2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013 - Lyon, United Kingdom

Conference

Conference2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013
CountryUnited Kingdom
CityLyon
Period7/10/20139/10/2013

King's Authors

Abstract

Pervasive computing applications bring together heterogeneous network-connected devices, services and resources to enable context-aware information integration. The increasing adoption of pervasive computing technology in the healthcare domain offers a healthcare model that delivers high quality service with fewer resources. In this paper, we briefly review the existing pervasive healthcare solutions and propose a novel provenance-aware system design that can enhance the performance of such solutions by means of including provenance capture functionality. We argue that our system architecture can improve quality of clinical data, efficiency of its collection, and its integrating ability with other data sources. To demonstrate our system and explain its provenance capacity, we use a clinical research example in which a patient's condition is closely monitored in order to assess the safety and efficacy of medications and treatments prescribed to him.

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