A data warehouse architecture for clinical data warehousing

Authors:
Tony R. Sahama;Peter R. Croll
Affiliations:
Queensland University of Technology, Brisbane, Queensland;Queensland University of Technology, Brisbane, Queensland
Venue:
ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
Year:
2007

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Abstract

Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical data warehouses are complex and time consuming to review a series of patient records however it is one of the efficient data repository existing to deliver quality patient care. Data integration tasks of medical data store are challenging scenarios when designing clinical data warehouse architecture. The presented data warehouse architectures are practicable solutions to tackle data integration issues and could be adopted by small to large clinical data warehouse applications.