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Scaling an expert system data mart: more facilities in real-time
L A McNamee1, B D Launsby, M E Frisse
1Section of Medical Informatics, Washington University, St. Louis, Missouri, USA.
Proceedings. AMIA Symposium
|February 3, 1999
Summary
Clinical data repositories centralize healthcare data. This study introduces a new architecture for real-time clinical data marts, enhancing expert systems and clinical decision-making.
Area of Science:
- Health Informatics
- Data Management in Healthcare
Background:
- Healthcare organizations centralize data using clinical data repositories.
- Data marts, specialized subsets of repositories, are emerging for focused analysis.
- Previous methods used batch processing for data mart population.
Purpose of the Study:
- To describe an architecture for creating real-time data sources for clinical data marts.
- To support highly specialized clinical expert systems using real-time data.
Main Methods:
- Utilizing primary data sources and an evolving enterprise-wide clinical data repository.
- Developing an architecture for real-time data extraction and transformation.
- Integrating real-time data marts with clinical expert systems.
Main Results:
- An architecture enabling real-time data availability for clinical data marts.
- Improved data accessibility for specialized clinical analysis.
- Foundation for enhanced clinical expert system performance.
Conclusions:
- The proposed architecture facilitates real-time data mart creation from repositories.
- This approach enhances the capability of clinical expert systems through timely data access.
- Real-time data marts are crucial for advanced clinical decision support.