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Facilitating pre-operative assessment guidelines representation using SNOMED CT.

Leila Ahmadian1, Ronald Cornet, Nicolette F de Keizer

  • 1Dept. of Medical Informatics, Academic Medical Center, University of Amsterdam, The Netherlands. l.ahmadian@amc.uva.nl

Journal of Biomedical Informatics
|August 7, 2010
PubMed
Summary

SNOMED CT covers most terms in pre-operative assessment guidelines, but vagueness in guidelines reduces coverage. Improving SNOMED CT requires addressing guideline ambiguity and adding missing concepts for better decision support.

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Area of Science:

  • Medical Informatics
  • Clinical Terminology
  • Health Services Research

Background:

  • Pre-operative assessment guidelines are crucial for patient care.
  • Standardized terminology is essential for effective clinical decision support systems.
  • Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is a widely used medical terminology.

Purpose of the Study:

  • To evaluate the coverage of terms from pre-operative assessment guidelines within SNOMED CT.
  • To identify areas for improvement in SNOMED CT content for pre-operative assessment.

Main Methods:

  • Guidelines from anesthesia societies were analyzed.
  • Recommendations were converted into "IF condition THEN action" statements.
  • Extracted terms were mapped to SNOMED CT, measuring coverage (complete, partial, none).

Main Results:

  • 71% of 133 extracted terms had a complete match in SNOMED CT.
  • Excluding vague terms, SNOMED CT coverage reached 89%.
  • Non-covered concepts often violated SNOMED CT editorial principles (e.g., vagueness, numeric ranges).

Conclusions:

  • Vague terms in guidelines hinder representation in terminological systems like SNOMED CT.
  • Addressing guideline vagueness and enhancing SNOMED CT are necessary for improved decision support.
  • Formalizing guidelines with SNOMED CT is feasible but requires content refinement.