Paper Info
Title
Provenance-Aware Pervasive Computing In Clinical Applications
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.
Year
DOI
Venue
2013
10.1109/WiMOB.2013.6673376
2013 IEEE 9TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)
Keywords
Field
DocType
provenance, pervasive computing, PROV model, clinical research information system
Data science,Information integration,World Wide Web,Service quality,Computer science,Systems design,Utility computing,Context-aware pervasive systems,End-user computing,Systems architecture,Ubiquitous computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2160-4886
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yevgeniya Kovalchuk1389.76
Yuhui Chen2134.26
Simon Miles31599109.29
Shao Fen Liang4334.53
Adel Taweel59819.86