PubMed · 2004 · 28 citations · 9 references
ComputingBiomedical InformaticsHealth InformaticsClinical InformaticsElectronic Health RecordsMedical CodingClinical Natural Language ProcessingElectronic Health Record CodingHealth Information RetrievalProblem ListsTerminology MappingTerminology StandardsClinical Named Entity RecognitionClinical TerminologiesClinical Vocabulary MappingProblem List ExtractionProblem List MiningSnomed Ct Mapping
Veterans Health Administration (VHA) is now evaluating use of SNOMED-CT. This paper reports the first phase of this evaluation, which examines the coverage of SNOMED-CT for problem list entries. Clinician expressions in VA problem lists are quite diverse compared to the content of the current VA terminology Lexicon. We selected a random set of 5054 narratives that were previously "unresolved" against the Lexicon. These narratives were mapped to SNOMED-CT using two automated tools. Experts reviewed a subset of the tools' matched, partly matched, and un-matched narratives. The automated tools produced exact or partial matches for over 90% of the 5054 unresolved narratives. SNOMED-CT has promise as a coding system for clinical problems. In subsequent studies, VA will examine the coverage of SNOMED for other clinical domains, such as drugs, allergies, and physician orders.
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Aileen Atwood Knecht · JONA The Journal of Nursing Administration · 1972 · 630 citations
Christopher G. Chute, Simon Cohn, John Campbell · Journal of the American Medical Informatics Association · 1998 · 175 citations · Full text
James R. Campbell, P Carpenter, Charles Sneiderman et al. · Journal of the American Medical Informatics Association · 1997 · 167 citations · Full text