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An Extended SNOMED CT Concept Model for Observations in Molecular Genetics
University of Nebraska Medical Center, Omaha NE USA.
University of Nebraska Medical Center, Omaha NE USA.
University of Nebraska Medical Center, Omaha NE USA.
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
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2016 (English)In: AMIA Annual Symposium Proceedings, 2016, 352-360 p.Conference paper, Published paper (Refereed)
Abstract [en]

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

Place, publisher, year, edition, pages
2016. 352-360 p.
Series
AMIA Annual Symposium Proceedings, ISSN 1559-4076, E-ISSN 1942-597X
National Category
Computer and Information Science Medical Genetics
Identifiers
URN: urn:nbn:se:liu:diva-137040PubMedID: 28269830OAI: oai:DiVA.org:liu-137040DiVA: diva2:1092273
Conference
AMIA 2016 Annual Symposium November 12-16, 2016, Chicago,IL
Available from: 2017-05-02 Created: 2017-05-02 Last updated: 2017-05-23

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