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An ontology-based multi-agent architecture for distributed health-care information systems
S Falasconi1, G Lanzola, M Stefanelli
1Dept. of Informatics and Systems Science, University of Pavia, Italy. sabina@ipvaimed6.unipv.it
Methods of Information in Medicine
|January 1, 1997
Summary
This study proposes a shift to distributed health-care information systems for better cooperative patient care. It emphasizes shared ontologies for semantic interoperability among interconnected agents.
Area of Science:
- Health Informatics
- Computer Science
- Artificial Intelligence
Background:
- Shared-care management is knowledge-intensive, requiring enhanced specialist interaction and computational resource integration.
- Current centralized health-care information systems are inadequate for cooperative medical care.
Purpose of the Study:
- To outline a methodology for architectural choices in distributed health-care information systems.
- To enhance interoperation between interconnected agents in a shared-care context.
Main Methods:
- Proposing a shift from centralized to distributed health-care information systems.
- Utilizing interconnected agents for comprehensive patient history tracking.
- Developing shared conceptual models (ontologies) for semantic interoperability.
Main Results:
- A general methodology for designing and integrating software components in distributed health-care systems.
- The critical role of ontologies in establishing a common semantic foundation for agents.
- Improved interoperation capabilities among healthcare providers and computational resources.
Conclusions:
- Distributed health-care information systems are essential for effective shared-care management.
- Shared ontologies are crucial for enabling semantic interoperability and agent cooperation.
- Architectural choices must prioritize agent interaction and shared semantic models.