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


Autoria(s): Narra, Lekha; Sahama, Tony; Stapleton, Peta
Contribuinte(s)

Maeder, Anthony

Warren, Jim

Data(s)

2015

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/78839/

Publicador

Australian Computer Society

Relação

http://eprints.qut.edu.au/78839/1/Narra_etal_HIKM_2015_QUT_ePrints_Copy.pdf

Narra, Lekha, Sahama, Tony, & Stapleton, Peta (2015) Clinical data warehousing : a business analytics approach for managing health data. In Maeder, Anthony & Warren, Jim (Eds.) Proceedings of the Eighth Australasian Workshop on Health Informatics and Knowledge Management (HIKM2015), Australian Computer Society, Sydney, Australia.

Direitos

Copyright 2015 Australian Computer Society, Inc.

Fonte

School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty

Palavras-Chave #080000 INFORMATION AND COMPUTING SCIENCES #080600 INFORMATION SYSTEMS #Clinical Data Warehouse #Business Intelligence & Analytics #Health data #Obesity #Centralised data warehouse Architecture #Star schema
Tipo

Conference Paper