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Mapping SNOMED-CT concepts to MeSH concepts.

Amy K Jacobs¹, Theresa A Quinn, Stuart J Nelson

¹Management Systems Designers, Inc, Fairfax, Virginia, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|January 24, 2007

Summary

Mapping clinical concepts between SNOMED-CT and MeSH is crucial. We developed a successful strategy using TermWorks, enhancing data interoperability for research and clinical applications.

Area of Science:

Medical Informatics
Biomedical Terminology
Knowledge Representation

Background:

High demand exists for efficient concept mapping between diverse clinical and research terminology sources.
Accurate mapping facilitates data integration, analysis, and knowledge discovery in healthcare.

Purpose of the Study:

To present a successful strategy for mapping Systematized Nomenclature of Medicine - Clinical Terms (SNOMED-CT) to Medical Subject Headings (MeSH) concepts.
To outline the development, implementation, and maintenance of a concept mapping process.

Main Methods:

Utilized Apelon's TermWorks, a mapping tool integrated with Microsoft Excel.
Developed and tested specific guidelines for concept mapping.
Implemented the mapping strategy and established protocols for maintenance and version control.

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Main Results:

Successfully mapped SNOMED-CT concepts to MeSH.
Demonstrated the feasibility and effectiveness of the TermWorks tool for this task.
Established a framework for ongoing management and updates of the mapping.

Conclusions:

The developed mapping strategy provides an efficient solution for inter-terminology concept mapping.
This approach enhances data consistency and accessibility for clinical and research purposes.
Guidelines for maintenance and version control ensure the long-term utility of the SNOMED-CT to MeSH mapping.