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Building SNOMED CT Post-Coordinated Expressions from Annotation Groups.

Jose Antonio Miñarro-Giménez¹, Catalina Martínez-Costa¹, Pablo López-García¹

¹Institute for Medical Informatics, Statistics and Documentation. Medical University of Graz.

Studies in Health Technology and Informatics

|April 21, 2017

Summary

This study evaluated using existing SNOMED CT pre-coordinated expressions to build complex clinical concepts. While recall was high (95.9%), precision was low (9.3%), indicating a need for improved pattern selection methods.

Keywords:

Post-coordination SNOMED CT

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Area of Science:

Medical Informatics
Clinical Terminology
Ontology Engineering

Background:

SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) supports post-coordination for creating complex clinical concepts.
Pre-coordinated expressions are existing SNOMED CT compositional expressions.
Post-coordination extends SNOMED CT content by combining concepts.

Purpose of the Study:

To evaluate the suitability of existing pre-coordinated SNOMED CT expressions.
To assess their effectiveness as patterns for composing typical clinical information.
To analyze the composition of interrelated SNOMED CT concepts.

Main Methods:

Utilized a defined list of interrelated SNOMED CT concept sets.
Applied a method to evaluate the suitability of pre-coordinated expressions for post-coordination.
Calculated precision and recall metrics for the pattern matching process.

Main Results:

Achieved a recall of 95.9%, indicating a high rate of identifying relevant patterns.
Obtained a precision of 9.3%, suggesting many identified patterns were not optimal.
Highlighted a significant gap between identified and meaningful patterns.

Conclusions:

Existing pre-coordinated SNOMED CT expressions offer a foundation for post-coordination but require refinement.
Further research is necessary to develop heuristics for selecting more meaningful patterns.
Improving pattern selection is crucial for enhancing the precision of SNOMED CT concept composition.