ArticleJournal of the American Medical Informatics Association : JAMIA
Development and evaluation of methods for structured recording of heart murmur findings using SNOMED-CT post-coordination.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Semantics in action: a guide for representing clinical data elements with SNOMED CT.Journal of biomedical semantics · 2025Article
- PCEtoFHIR: Decomposition of Postcoordinated SNOMED CT Expressions for Storage as HL7 FHIR Resources.JMIR medical informatics · 2024Article
- Article
- Identifying inconsistencies in SNOMED CT problem lists using structural indicators.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- A method for encoding clinical datasets with SNOMED CT.BMC medical informatics and decision making · 2010Article
- The impact of SNOMED CT revisions on a mapped interface terminology: terminology development and implementation issues.Journal of biomedical informatics · 2009Article
- Early experiences in evolving an enterprise-wide information model for laboratory and clinical observations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2008Article
- A computational linguistics motivated mapping of ICPC-2 PLUS to SNOMED CT.BMC medical informatics and decision making · 2008Article
- Heart energy signature spectrogram for cardiovascular diagnosis.Biomedical engineering online · 2007Article
- Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.Journal of the American Medical Informatics Association : JAMIAArticle
- Auditing the semantic completeness of SNOMED CT using formal concept analysis.Journal of the American Medical Informatics Association : JAMIAArticle
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Authors and funding
4 authors.
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Abstract
objectiveThis study evaluated an existing SNOMED-CT model for structured recording of heart murmur findings and compared it to a concept-dependent attributes model using content from SNOMED-CT.
methodsThe authors developed a model for recording heart murmur findings as an alternative to SNOMED-CT's use of Interprets and Has interpretation. A micro-nomenclature was then created to support each model using subset and extension mechanisms described for SNOMED-CT. Each micro-nomenclature included a partonomy of cardiac cycle timing values. A mechanism for handling ranges of values was also devised. One hundred clinical heart murmurs were recorded using purpose-built recording software based on both models.
resultsEach micro-nomenclature was extended through the addition of the same list of concepts. SNOMED role grouping was required in both models. All 100 clinical murmurs were described using each model. The only major differences between the two models were the number of relationship rows required for storage and the hierarchical assignments of concepts within the micro-nomenclatures.
conclusionThe authors were able to capture 100 clinical heart murmurs with both models. Requirements for implementing the two models were virtually identical. In fact, data stored using these models could be easily interconverted. There is no apparent penalty for implementing either approach.
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