Clinical data warehousing: A business analytics approach for managing health data

Lekha Narra, Tony Sahama, Peta Berenice Stapleton

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Abstract

Heterogeneous health data is a critical issue when
managing health information for quality decision making
processes. In this paper we examine the efficient
aggregation of lifestyle information through a data
warehousing architecture lens. We present a proof of
concept for a clinical data warehouse architecture that
enables evidence based decision making processes by
integrating and organising disparate data silos in support
of healthcare services improvement paradigms.
Original languageEnglish
Title of host publicationProceedings of the 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM)
EditorsAnthony Maeder, Jim Warren
PublisherAustralian Computer Society Inc
Pages101-104
Number of pages4
Volume164
ISBN (Electronic)978-1-921770-46-3
Publication statusPublished - 2015
Event8th Australasian Workshop on Health Informatics and Knowledge Management - Sydney, Sydney, Australia
Duration: 27 Jan 201530 Jan 2015
Conference number: 8

Conference

Conference8th Australasian Workshop on Health Informatics and Knowledge Management
Abbreviated titleHIKM
CountryAustralia
CitySydney
Period27/01/1530/01/15

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    Narra, L., Sahama, T., & Stapleton, P. B. (2015). Clinical data warehousing: A business analytics approach for managing health data. In A. Maeder, & J. Warren (Eds.), Proceedings of the 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM) (Vol. 164, pp. 101-104). Australian Computer Society Inc. http://crpit.com/confpapers/CRPITV164Narra.pdf