Provenance-aware Pervasive Computing in Clinical Applications

被引：0
|
作者：
Kovalchuk, Yevgeniya [1 ]
Chen, Yuhui [2 ]
Miles, Simon [2 ]
Liang, Shao Fen [3 ]
Taweel, Adel [2 ]
机构：
[1] Kings Coll London, Sch Med, Dept Primary Care & Publ Hlth Sci, London WC2R 2LS, England
[2] Kings Coll London, Sch Nat & Math Sci, Dept Informat, London WC2R 2LS, England
[3] Kings Coll London, NIHR, GSTFT, Biomed Res Ctr,KCL, London WC2R 2LS, England
来源：
2013 IEEE 9TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB) | 2013年
关键词：
provenance; pervasive computing; PROV model; clinical research information system; HEALTH-CARE; CHALLENGES;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：297 / 302
页数：6
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