Knowledge-mediated retrieval of laboratory observations

Intelligent medical applications including agents, clinical decision support systems, and expert systems can benefit from components that expose the meanings of medical concepts. We have endeavored to create an ontology for laboratory observations and to make the ontology accessible in a distributed...

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Bibliographic Details
Published in:Proceedings - AMIA Symposium 1999, p.809-813
Main Authors: Hsu, C, Goldberg, H S
Format: Article
Language:English
Subjects:
Artificial Intelligence
Clinical Laboratory Information Systems
Clinical Laboratory Techniques - classification
Databases as Topic
Humans
Software
Terminology as Topic
Vocabulary, Controlled
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Summary:Intelligent medical applications including agents, clinical decision support systems, and expert systems can benefit from components that expose the meanings of medical concepts. We have endeavored to create an ontology for laboratory observations and to make the ontology accessible in a distributed environment through a knowledge mediator offering several services. To date we have created two such services, one service to mediate the retrieval of laboratory observations and an auxiliary service to facilitate the mapping of units of measure to LOINC property-types. We report progress and insights on the development of our ontology and related knowledge mediator.
ISSN:1531-605X