Clinical data warehousing for evidence based decision making
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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|Item Type:||Journal Article|
|Keywords:||Data Waehousing, Obesity, MS SQL Server, Health Data, Lifestyle|
|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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