Application of the medical data warehousing architecture EPIDWARE to epidemiological follow-up: data extraction and transformation.
In this paper, we present an application of EPIDWARE, medical data warehousing architecture, to our epidemiological follow-up project. The aim of this project is to extract and regroup information from various information systems for epidemiological studies. We give a description of the requirements of the epidemiological follow-up project such as anonymity of medical data information and data file linkage procedure. We introduce the concept of Data Warehousing Architecture. The particularities of data extraction and transformation are presented and discussed.
Kerkri
E
E
Dijon University Hospital, Medical Informatics Department, Dijon, France. emkerkri@u-bourgogne.fr
Quantin
C
C
Yetongnon
K
K
Allaert
F A
FA
Dusserre
L
L
D003199:Computer Systems; D003628:Database Management Systems; D016021:Epidemiologic Studies; D005500:Follow-Up Studies; D006801:Humans; D008491:Medical Informatics Applications; D008498:Medical Record Linkage; D012984:Software