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Comparison of terminology mapping methods for nursing wound care knowledge representation
Lorraine J Block1, Sabrina T Wong2, Shannon Handfield3
1University of British Columbia, School of Nursing, Vancouver, BC, Canada. Electronic address: https://twitter.com/lori_block1.
International Journal of Medical Informatics
|August 6, 2021
Summary
Multiple mapping methods are essential for comprehensive wound care concept identification in SNOMED CT. Combining manual, automated, and comparison techniques with expert concordance mapping ensures greater representativeness of clinical terms.
Area of Science:
- Health Informatics
- Clinical Terminology
- Nursing Informatics
Background:
- Standardized clinical terminologies are crucial for advanced health information systems.
- Assessing terminology representativeness across professional groups and clinical areas is vital.
- Terminology mapping methods are employed to evaluate this representativeness.
Purpose of the Study:
- To evaluate four mapping methods for identifying wound care concepts within SNOMED CT.
- To assess the effectiveness of different mapping approaches in capturing relevant clinical terms.
Main Methods:
- Developed a 107-concept class diagram for nursing wound care.
- Mapped concepts to SNOMED CT using manual, automated, and comparison methods.
- Conducted expert-driven concordance mapping to finalize concept matches.
Main Results:
- Manual, automated, and comparison mappings yielded unique candidate concept lists.
- Concordance mapping identified 40% direct matches, 2% one-to-many matches, and 58% no matches to SNOMED CT.
- All employed mapping methods were necessary for comprehensive concept representation.
Conclusions:
- Multiple mapping methods are required to enhance the representativeness of candidate concept lists.
- Combining various mapping strategies ensures a more complete capture of clinical concepts.
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