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Automated translation between medical vocabularies using a frame-based interlingua
R A Rocha1, B H Rocha, S M Huff
1Department of Medical Informatics, University of Utah, Salt Lake City 84112.
Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
Summary
This study presents a frame-based application for automatic medical vocabulary translation, crucial for clinical system integration. An innovative scoring algorithm improves concept matching accuracy compared to manual methods.
Area of Science:
- Medical Informatics
- Computational Linguistics
Background:
- Clinical system integration necessitates vocabulary translation.
- Lack of standardized medical concept representation hinders interoperability.
- Manual term matching is time-consuming and error-prone.
Purpose of the Study:
- To develop an automated application for translating terms between different medical vocabularies.
- To address the challenges posed by the lack of standardized medical concept representation.
- To improve the efficiency and accuracy of vocabulary mapping in clinical systems.
Main Methods:
- Development of a frame-based application for automated term translation.
- Implementation of an innovative scoring algorithm utilizing an exponential scale for ranking concept matches.
- Comparison of automated translation results against a manual process.
Main Results:
- The developed application successfully translates terms between medical vocabularies.
- The exponential scoring algorithm provides effective ranking of concept matches.
- Preliminary results indicate improved efficiency and comparable accuracy to manual translation.
Conclusions:
- Automated vocabulary translation using frame-based systems and advanced scoring algorithms is feasible.
- This approach can significantly facilitate clinical system integration.
- Further validation and refinement of the system are warranted.