Clinical data warehousing for evidence based decision making

Narra, Lekha, Sahama, Tony, & Stapleton, Peta (2015) Clinical data warehousing for evidence based decision making. Studies in Health Technology and Informatics, 210, pp. 329-333.

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Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.

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ID Code: 83994
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Data Waehousing, Obesity, MS SQL Server, Health Data, Lifestyle
DOI: 10.3233/978-1-61499-512-8-329
ISSN: 0926-9630
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 [please consult the authors]
Deposited On: 07 May 2015 23:29
Last Modified: 16 Jun 2015 05:10

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