DocumentCode :
2617788
Title :
Assuring data and information quality in eHealth
Author :
Su, Ying ; Talburt, John R.
Author_Institution :
Inf. Quality Lab., Inst. of Sci. & Tech. Inf. of China, Beijing, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
3880
Lastpage :
3884
Abstract :
As organizations have begun increasingly to communicate and interact with consumers via the wireless, so the data and information quality (DIQ) of their offerings has become a central issue since it ensures service usability and utility for each visitor and, in addition, improves server utilization. In this article, we present Quality-enable eHealth system architecture, eQualityHealth, by introducing a DIQ broker module between service clients and providers (servers). The functions of the DIQ broker module include assessing DIQ about servers, making selection decisions for clients, and negotiating with servers to get DIQ agreements. We study a data quality assurance algorithms used by DIQ brokers acting as the front-end of servers. The goal of this qualitative algorithms based on fuzzy computing is to measure the data quality and to facilitate user participation.
Keywords :
client-server systems; fuzzy set theory; health care; medical information systems; quality assurance; telemedicine; DIQ broker module; data quality assurance; eQualityHealth; fuzzy computing; information quality; quality-enable ehealth system architecture; Authorization; Indexes; Medical services; Pragmatics; Servers; Smart homes; Wireless communication; data quality; ehealth; entity resolution; information quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5974534
Filename :
5974534
Link To Document :
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