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Definition and validation of SNOMED CT subsets using the expression constraint language.

V M Giménez-Solano1, J A Maldonado1, D Boscá1

  • 1VeraTech for Health, Valencia, Spain.

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|March 23, 2021
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Summary

SNOMED CT Expression Constraints (ECL) can now be simplified, validated, and executed on graph databases using the SNQuery platform. This improves terminology binding for semantic interoperability in EHR systems.

Keywords:
Expression constraint languageExpression constraint simplificationGraph databaseSNOMED CTSubset visualization

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Area of Science:

  • Medical Informatics
  • Computational Linguistics
  • Graph Databases

Background:

  • SNOMED CT Expression Constraint Language (ECL) defines intensional subsets of clinical meanings.
  • Expression Constraints (ECs) are crucial for terminology binding in clinical information models.
  • Efficient execution and validation of ECs are necessary for managing clinical data.

Purpose of the Study:

  • To develop methods for simplifying, semantically validating, and executing ECL over graph databases.
  • To create a platform (SNQuery) for EC execution and subset visualization.
  • To enhance the exploration, understanding, and validation of SNOMED CT subsets.

Main Methods:

  • Representing SNOMED CT content in a graph-oriented database.
  • Translating ECL expressions into Cypher Query Language queries for execution.
  • Implementing EC simplification methods to reduce complexity and execution time.
  • Developing a circle packing-based visualization for subset validation.

Main Results:

  • Developed SNQuery, a platform for defining intensional subsets using ECL execution on a graph database.
  • Incorporated methods for EC simplification, semantic validation, and subset visualization.
  • Evaluated SNQuery based on EC execution times, demonstrating platform efficiency.

Conclusions:

  • Methods for simplifying, validating, and executing ECL over graph databases have been established.
  • A visualization method aids in exploring and validating subsets, refsets, and terminology.
  • The definition of intensional subsets is vital for semantic interoperability between EHR systems.