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.
| Original language | English |
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| Title of host publication | 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) |
| Publisher | IEEE |
| Pages | 297-302 |
| Number of pages | 6 |
| ISBN (Print) | 9781479904280 |
| DOIs | |
| Publication status | Published - 1 Dec 2013 |
| Event | 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013 - Lyon, United Kingdom Duration: 7 Oct 2013 → 9 Oct 2013 |
Conference
| Conference | 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013 |
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| Country/Territory | United Kingdom |
| City | Lyon |
| Period | 7/10/2013 → 9/10/2013 |
Keywords
- clinical research information system
- pervasive computing
- PROV model
- provenance