Iterative Evaluation of the Health Level 7-Logical Observation Identifiers Names and Codes Clinical Document Ontology for Representing Clinical Document Names: A Case Report Academic Article uri icon


MeSH Major

  • Documentation
  • Forms and Records Control
  • Logical Observation Identifiers Names and Codes


  • The authors summarize their experience in iteratively testing the adequacy of three versions of the Health Level Seven (HL7) Logical Observation Identifiers Names and Codes (LOINC) Clinical Document Ontology (CDO) to represent document names at Columbia University Medical Center. The percentage of documents fully represented increased from 23.4% (Version 1) to 98.5% (Version 3). The proportion of unique representations increased from 7.9% (Analysis 1) to 39.4% (Analysis 4); the proportion reflects the level of specificity in the document names as well as the completeness and level of granularity of the CDO. The authors shared the findings of each analysis with the Clinical LOINC committee and participated in the decision-making regarding changes to the CDO on the basis of those analyses and those conducted by the Department of Veterans Affairs. The authors encourage other institutions to actively engage in testing healthcare standards and participating in standards development activities to increase the likelihood that the evolving standards will meet institutional needs.

publication date

  • May 2009



  • Academic Article



  • eng

PubMed Central ID

  • PMC2732231

Digital Object Identifier (DOI)

  • 10.1197/jamia.M2821

PubMed ID

  • 19261945

Additional Document Info

start page

  • 395

end page

  • 9


  • 16


  • 3