Conference article

In the Danish healthcare sector enormous amounts of data are stored as fragments in a large number of unintegrated IT-based information systems (IS). It is a very resource-intensive task; but it has been demonstrated that the existing data can be used to provide an information basis for strategic decisions and research. However; data are rarely used beyond individual patient care because of its contextual nature. Therefore; fragments of data are rarely meaningful. Without data integration it becomes problematic to interpret and use the data for secondary purposes. Consequently retrieval and aggregation are not fully realised which are some of the most prominent advantages of IS. The health care sector has begun to realize the potential of dimensional data warehousing (DDW) to query across several data sources; thus creating data sets for research. DDW’s has been developed to extract and load data from many heterogeneous sources into a joint underlying model. The aim of this study was to expand the existing pa ient administrative data warehouse in the North Region of Denmark (RN) to demonstrate integration of two data sources creating a dataset with type 1 diabetic patients and their laboratory results.

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