A Data Warehouse Architecture for Clinical Data Warehousing
Sahama, Tony R. & Croll, Peter R. (2007) A Data Warehouse Architecture for Clinical Data Warehousing. In Roddick, J. F. & Warren, J. R. (Eds.) Australasian Workshop on Health Knowledge Management and Discovery (HKMD 2007), 30 January-2 February 2007, Ballarat, Victoria.
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.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||clinical data warehouse, data design, data integration, data warehouse architecture, data warehousing|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Institutes > Information Security Institute
|Copyright Owner:||Copyright 2007 Australian Computer Society|
|Copyright Statement:||Copyright © 2007, Australian Computer Society, Inc. This paper appeared at the First Australasian Workshop on Health Knowledge Management and Discovery (HKMD 2007), Ballarat, Australia. Conferences in Research and Practice in Information Technology, Vol. 68. John F. Roddick and James R. Warren, Eds. Reproduction for academic, not-for profit purposes permitted provided this text is included.|
|Deposited On:||31 Jul 2008|
|Last Modified:||29 Feb 2012 23:31|
Repository Staff Only: item control page