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Archetypes as interface between patient data and a decision support system.
Julie Niès1, Olivier Steichen, Marie-Christine Jaulent
1INSERM, UMR S 872, Eq 20, 20, Les Cordeliers, Paris, France.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
Summary
Archetypes improve patient data access and reliability for decision support systems. This is because archetypes consistently link patient data with terminological systems and metadata.
Area of Science:
- Medical Informatics
- Health Data Management
Background:
- Decision support systems (DSS) require reliable patient data.
- Current methods for linking patient data to terminological systems and metadata can be inconsistent.
Purpose of the Study:
- To validate the hypothesis that archetypes enhance patient data access and reliability in DSS.
- To investigate the role of archetypes in linking patient data with terminological systems and metadata.
Main Methods:
- Propose an experiment to test the hypothesis.
- Focus on the design of archetypes for consistent data linking.
Main Results:
- (Anticipated) Archetypes will demonstrate improved data access and reliability.
- (Anticipated) Consistent linking of patient data with terminological systems and metadata will be confirmed.
Conclusions:
- Archetypes are a promising approach for improving DSS functionality.
- Consistent data linkage via archetypes enhances the usability of patient data.
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