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A Web-based GIS for health care decision-support.
Richard Jean-Baptiste1, Laurent Toubiana, Loïc Le Mignot
1Paris 5 University, Faculty of Medicine, Assistance Publique - Hôpitaux de Paris, EA 222, Department of Biostatistics and Medical Informatics, Necker Hospital, France.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
Summary
This study introduces SIGNe, a Web-GIS tool for visualizing End-Stage Renal Disease (ESRD) care demand and supply. It aids public health professionals in understanding ESRD epidemiology and resource allocation.
Area of Science:
- Nephrology
- Public Health
- Geographic Information Systems (GIS)
Background:
- End-Stage Renal Disease (ESRD) presents complex challenges in care demand and supply.
- Effective epidemiological surveillance and resource allocation are crucial for managing ESRD.
- Existing systems may lack integrated visualization tools for ESRD data.
Purpose of the Study:
- To develop and present SIGNe, a Web-GIS application for visualizing ESRD epidemiology.
- To provide a decision-support tool for healthcare professionals and policymakers.
- To map the supply of care against the demand for ESRD patients.
Main Methods:
- Development of a Web-based Geographic Information System (Web-GIS) named SIGNe.
- Integration of SIGNe with a data warehouse (Multi-Source Information System - MSIS).
- Implementation within an n-tier architecture for robust data management and access.
Main Results:
- SIGNe provides visual representations (maps) of ESRD care demand and supply.
- The system facilitates understanding of ESRD epidemiological patterns.
- It serves as a tool for matching healthcare resources to patient needs.
Conclusions:
- SIGNe enhances the understanding of ESRD epidemiology through advanced visualization.
- The Web-GIS tool supports informed decision-making for public health and renal care planning.
- SIGNe is a valuable asset for the Renal Epidemiology and Information Network (REIN).