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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.

Christopher Ochs¹, James T Case², Yehoshua Perl¹

¹Computer Science Department, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA.

Journal of Biomedical Informatics

|February 21, 2017

Summary

Reviewing changes in SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) is simplified with a new visual semantic delta tool. This semantic delta provides context and summaries for thousands of concept and relationship updates in each release.

Keywords:

SNOMED CT Semantic delta Terminology change analysis Terminology change summary Terminology diff Terminology evolution

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Area of Science:

Medical Informatics
Health Terminology Management
Clinical Data Standards

Background:

SNOMED CT releases involve thousands of concept and relationship changes.
Delta files identifying these changes are overwhelming for users.
Existing methods lack context on editorial processes and subhierarchy impact.

Purpose of the Study:

To introduce a methodology and software tool for comprehensive review of SNOMED CT changes.
To provide semantic context and visual summaries of editing operations.
To enable users to understand the impact of changes on concept subhierarchies.

Main Methods:

Developed a SNOMED CT Visual Semantic Delta tool.
The tool displays graphical lists of editing operations.
Incorporated visual summaries for structurally and semantically similar concepts.

Main Results:

The semantic delta tool provides semantics and context to SNOMED CT delta files.
Visual summaries highlight changes affecting concept clusters.
The tool offers granular views for user-controlled information display.

Conclusions:

The semantic delta methodology and tool effectively address the challenge of reviewing extensive SNOMED CT release changes.
It enhances understanding of concept evolution and editorial impact.
Demonstrated utility on the Bacterial infectious disease subhierarchy.