An Extended SNOMED CT Concept Model for Observations in Molecular Genetics

James R Campbell; Geoffrey A Talmon; Allison M Cushman-Vokoun; Daniel Karlsson; Walter S Campbell

An Extended SNOMED CT Concept Model for Observations in Molecular Genetics

James R Campbell, Geoffrey A Talmon, Allison M Cushman-Vokoun, Daniel Karlsson, Walter S Campbell

Research output: Contribution to journal › Article › peer-review

Abstract

Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in diagnosis and treatment of cancer, infectious disease and managing of public health. Little of this data is structured or maintained in the EHR in format useful for decision support or research. Structured, computable reporting is limited by non-availability of a domain ontology for these data. The IHTSDO and Regenstrief Institute(RI) have been collaborating since 2008 to develop a unified concept model and ontology of observable entities - concepts which represent the results of laboratory and clinical observations. In this paper we report the progress we have made to apply that unified concept model to the structured recording of observations in clinical molecular genetic pathology including immunohistochemistry and sequence variant findings. The primary use case for deployment is the structured and coded reporting of Cancer checklist

Original language	English (US)
Pages (from-to)	352-360
Number of pages	9
Journal	AMIA ... Annual Symposium proceedings. AMIA Symposium
Volume	2016
State	Published - 2016

ASJC Scopus subject areas

Medicine(all)

Cite this

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An Extended SNOMED CT Concept Model for Observations in Molecular Genetics

Abstract

ASJC Scopus subject areas

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