An Approach for Integrating Heterogeneous Information Sources in a Medical Data Warehouse

Authors:
E. M. Kerkri;C. Quantin;F. A. Allaert;Y. Cottin;Ph. Charve;F. Jouanot;K. Yétongnon
Affiliations:
Dijon Univeristy Hospital, Medical Informatics Department (Pr Quantin) CHU-1, Bd. Jeanne d'Arc–BP 1542 - 21034 Dijon cedex, France;Dijon Univeristy Hospital, Medical Informatics Department (Pr Quantin) CHU-1, Bd. Jeanne d'Arc–BP 1542 - 21034 Dijon cedex, France;Dijon Univeristy Hospital, Medical Informatics Department (Pr Quantin) CHU-1, Bd. Jeanne d'Arc–BP 1542 - 21034 Dijon cedex, France. Healthcare Security and Software quality, European Committ ...;Dijon University Hospital, Cardiology Department (Pr Wolf), Dijon, France;Dijon University Hospital, Anesthesia Unit, Dijon, France;University of Burgundy, LE21, Informatics Engineering team (Pr Yétongnon) Université de Bourgogne, LE21, Equipe Ingénierie Informatique et Bases de Données–BP 47870 - 210 ...;University of Burgundy, LE21, Informatics Engineering team (Pr Yétongnon) Université de Bourgogne, LE21, Equipe Ingénierie Informatique et Bases de Données–BP 47870 - 210 ...
Venue:
Journal of Medical Systems
Year:
2001

Citing 6
Cited 3

Federated database systems for managing distributed, heterogeneous, and autonomous databases

ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Mediators in the Architecture of Future Information Systems

Computer
Using the data warehouse

Using the data warehouse
An overview of data warehousing and OLAP technology

ACM SIGMOD Record
The Context Interchange mediator prototype

SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Capability based mediation in TSIMMIS

SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data

Regional Variation in Medical Classification Agreement: Benchmarking the Coding Gap

Journal of Medical Systems
Data Integration for Medical Information Management

Journal of VLSI Signal Processing Systems
Healthcare Informatics Research: From Data to Evidence-Based Management

Journal of Medical Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years, medical professionals are witnessing an explosive growth in data collected by various organizations and institutions. At the same time, the ongoing developments of networking technologies provide doctor with the capability to access these data across the boundaries of interconnected computers. In this paper we present a medical data warehousing methodology that aims to use data semantics to regroup and merge patients' medical data from different health information systems, which may be autonomous and heterogeneous. The proposed solution takes into account European laws concerning the security and anonymity of personal data.