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 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.
Hsu
C
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Center for Clinical Computing, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Goldberg
H S
HS
D001185:Artificial Intelligence; D002984:Clinical Laboratory Information Systems; D019411:Clinical Laboratory Techniques / Q000145:classification*; D019992:Databases as Topic; D006801:Humans; D012984:Software; D009626:Terminology as Topic; D018875:Vocabulary, Controlled