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
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