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[SIMS REIN: a multi-source information system for end-stage renal disease]
Paul Landais1, Ana Simonet, Didier Guillon
1Laboratoire de biostatistique et d'informatique médicale (LBIM), université Paris-5, UFR Necker-Enfants-Malades, hôpital Necker, 149, rue de Sèvres, 75743 Paris, France. landais@necker.fr
Comptes Rendus Biologies
|August 7, 2002
Summary
The Renal Epidemiology and Information Network (REIN) in France uses a Multi-Source Information System to consolidate scattered data on End-Stage Renal Disease (ESRD). This improves patient care and public health decisions by providing a unified view of ESRD epidemiology.
Area of Science:
- Public Health
- Epidemiology
- Health Informatics
Context:
- Prevalence of End-Stage Renal Disease (ESRD) in France is poorly understood due to fragmented data sources.
- Current care for ESRD patients is not optimally adapted to demand.
- Lack of coordinated information hinders effective public health strategies.
Purpose:
- To establish the Renal Epidemiology and Information Network (REIN) in France.
- To create a Multi-Source Information System (MSIS) for organizing and improving medical and epidemiological knowledge of ESRD.
- To support public health decision-making regarding ESRD.
Summary:
- The proposed approach utilizes data warehousing to integrate heterogeneous data from distinct databases.
- This model provides a unified vision of scattered ESRD data for better management and patient follow-up.
- Key considerations include system conception, data warehouse organization, data integration, exchange, and ontology definition.
Impact:
- Aims to enhance the understanding of ESRD epidemiology in France.
- Facilitates improved patient follow-up and regional health management.
- Provides a foundation for evidence-based public health policy and resource allocation for ESRD care.