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Integration of decentralized clinical data in a data warehouse: a service-oriented design and realization
Sabine Hanss1, T Schaaf, T Wetzel
1Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, 12200 Berlin, Germany. sabine.hanss@charite.de
Integrating diverse clinical data into a central data warehouse, like the Open European Nephrology Science Center (OpEN.SC), requires careful requirements analysis. A Service-Oriented Architecture (SOA) approach, using the Rational Unified Process (RUP), ensures data integration with necessary transparency and security.
Area of Science:
- Health Informatics
- Data Management
- Clinical Systems Engineering
Background:
- Integrating data from multiple clinical partners into a unified data warehouse presents significant challenges.
- The Open European Nephrology Science Center (OpEN.SC) serves as a case study for these integration complexities.
Purpose of the Study:
- To present a general concept for data integration in a clinical data warehouse.
- To describe the difficulties encountered during data integration.
- To conduct a requirements analysis and design a solution for the OpEN.SC system.
Main Methods:
- The study employs a conceptual approach utilizing the Rational Unified Process (RUP).
- Service-Oriented Architecture (SOA) is adopted as the architectural paradigm for integration.
Main Results:
- Controllability, transparency, and security are crucial for partner confidence and participation in the OpEN.SC system.
- Reusable, fine-grained components are essential for handling diverse data sources.
- SOA facilitates the implementation of required reusability.
Conclusions:
- Thorough requirements analysis is a critical step in developing data integration processes for health information systems like OpEN.SC.
- A design based on RUP and SOA effectively addresses the identified integration requirements.
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