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      Clinical exome sequencing reports: current informatics practice and future opportunities

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          Abstract

          The increased adoption of clinical whole exome sequencing (WES) has improved the diagnostic yield for patients with complex genetic conditions. However, the informatics practice for handling information contained in whole exome reports is still in its infancy, as evidenced by the lack of a common vocabulary within clinical sequencing reports generated across genetic laboratories. Genetic testing results are mostly transmitted using portable document format, which can make secondary analysis and data extraction challenging. This paper reviews a sample of clinical exome reports generated by Clinical Laboratory Improvement Amendments–certified genetic testing laboratories at tertiary-care facilities to assess and identify common data elements. Like structured radiology reports, which enable faster information retrieval and reuse, structuring genetic information within clinical WES reports would help facilitate integration of genetic information into electronic health records and enable retrospective research on the clinical utility of WES. We identify elements listed as mandatory according to practice guidelines but are currently missing from some of the clinical reports, which might help to organize the data when stored within structured databases. We also highlight elements, such as patient consent, that, although they do not appear within any of the current reports, may help in interpreting some of the information within the reports. Integrating genetic and clinical information would assist the adoption of personalized medicine for improved patient care and outcomes.

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          Author and article information

          Journal
          J Am Med Inform Assoc
          J Am Med Inform Assoc
          jamia
          Journal of the American Medical Informatics Association : JAMIA
          Oxford University Press
          1067-5027
          1527-974X
          November 2017
          23 May 2017
          : 24
          : 6
          : 1184-1191
          Affiliations
          [1 ]Research Information Solutions and Innovation, The Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA
          [2 ]Department of Pathology and Laboratory Medicine, Nationwide Children’s Hospital
          [3 ]Department of Pathology, The Ohio State University College of Medicine, Columbus, OH, USA
          [4 ]The Heart Center, Nationwide Children’s Hospital
          [5 ]Center for Cardiovascular Research, The Research Institute at Nationwide Children’s Hospital
          [6 ]Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA
          [7 ]School of Pharmacy, Cedarville University, Cedarville, OH, USA
          [8 ]The Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA
          Author notes
          [* ]Corresponding Author: Simon Lin, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. E-mail: Simon.Lin@ 123456nationwidechildrens.org
          Article
          PMC7651976 PMC7651976 7651976 ocx048
          10.1093/jamia/ocx048
          7651976
          28535206
          8ae13fe1-736d-457e-be50-ce29157f6770
          © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com
          History
          : 2 September 2016
          : 10 February 2017
          : 12 April 2017
          Page count
          Pages: 8
          Categories
          Reviews

          electronic health records,Health Level-7 Fast Healthcare Interoperability Resources,clinical WES,structured vocabulary,Common data elements,exome report

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