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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Towards a Data Warehouse-Based Approach to Support Healthcare Knowledge Development and Sharing*

Towards a Data Warehouse-Based Approach to Support Healthcare Knowledge Development and Sharing*
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Author(s): Nevena Stolba (Vienna University of Technology, Australia), Tho Manh Nguyen (Vienna University of Technology, Australia) and A. Min Tjoa (Vienna University of Technology, Australia)
Copyright: 2007
Pages: 4
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch057
ISBN13: 9781599049298
EISBN13: 9781466665378

Abstract

In the past, much effort of healthcare decision support systems were focused on the data acquisition and storage, in order to allow the use of this data at some later point in time. Medical data was used in static manner, for analytical purposes, in order to verify the undertaken decisions. Due to the massive economical impact of today’s health system, great changes in medical treatments are notable. Apart of the humanitarian and healing nature of medicine, this industry is becoming more and more business like. The exploitation of evidence-based guidelines becomes a priority concern, as the awareness of the importance of knowledge management rises. Consequently, interoperability between medical information systems is becoming a necessity in modern health care. Under strong security measures, health care organisations are striking to unite and share their (partly very high sensitive) data assets in order to achieve a wider knowledge base and to provide a matured decision support service for the decision makers. Ontological integration of the very complex and heterogeneous medical data structures is a challenging task. Our objective is to point out the advantages of the deployment of a federated data warehouse approach for the integration of the wide range of different medical data sources and for distribution of evidence-based clinical knowledge, to support clinical decision makers, primarily clinicians at the point of care.

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