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Axiomatizing SNOMED CT Disorders: Should There Be Room for Interpretation?

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Summary

Integrating SNOMED CT terminology with ontologies like BFO and OGMS can enhance electronic healthcare records (EHRs). This study explores automating axiom construction for better clinical reporting, finding partial success but highlighting challenges in SNOMED CT

Keywords:
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Area of Science:

  • Biomedical Informatics
  • Ontology Engineering
  • Clinical Terminology

Background:

  • SNOMED CT is a clinical terminology for electronic healthcare records (EHRs).
  • The Basic Formal Ontology (BFO) and Ontology for General Medical Science (OGMS) provide realist ontological frameworks.
  • Integrating terminologies with ontologies can improve EHR data quality and comparability.

Purpose of the Study:

  • To develop a logical framework for integrating SNOMED CT with BFO/OGMS.
  • To automate the construction of bridging axioms between SNOMED CT and BFO/OGMS.
  • To assess the feasibility of automating axiom construction from SNOMED CT disorder definitions.

Main Methods:

  • Developing a logical framework using bridging axioms compatible with BFO.
  • Analyzing patterns in binary relations within SNOMED CT disorder definitions.
  • Comparing the approach with a proposal reinterpreting SNOMED CT disorders as clinical occurrents.

Main Results:

  • Partial automation of bridging axiom construction is possible.
  • The extent of automation is less than initially hoped.
  • Existing SNOMED CT disorder terms lack face validity for direct ontological translation.

Conclusions:

  • Combining SNOMED CT with BFO/OGMS offers potential for improved clinical reporting.
  • Automated axiom generation is feasible but limited.
  • Further work is needed to address the face validity and formal definition discrepancies in SNOMED CT.