Clinical data warehousing for evidence based decision making

Lekha Narra, Tony Sahama, Peta Stapleton

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Abstract

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.

Original languageEnglish
Title of host publicationDigital Healthcare Empowering Europeans - Proceedings of MIE 2015
Place of PublicationSpain
PublisherIOS Press
Pages329-333
Number of pages5
Volume210
ISBN (Electronic)9781614995111
DOIs
Publication statusPublished - 2015
Event26th Medical Informatics in Europe Conference, MIE 2015 - Madrid, Madrid, Spain
Duration: 27 May 201529 May 2015

Publication series

NameStudies in Health Technology and Informatics
Volume210
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference26th Medical Informatics in Europe Conference, MIE 2015
CountrySpain
CityMadrid
Period27/05/1529/05/15

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  • Cite this

    Narra, L., Sahama, T., & Stapleton, P. (2015). Clinical data warehousing for evidence based decision making. In Digital Healthcare Empowering Europeans - Proceedings of MIE 2015 (Vol. 210, pp. 329-333). (Studies in Health Technology and Informatics; Vol. 210). Spain: IOS Press. https://doi.org/10.3233/978-1-61499-512-8-329