Literature DB >> 28269830

An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

James R Campbell1, Geoffrey Talmon1, Allison Cushman-Vokoun1, Daniel Karlsson2, W Scott Campbell1.   

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 © and biomarker data as developed by the College of American Pathologists(CAP) with collaboration by the Royal College of Pathology(RCP).

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Year:  2017        PMID: 28269830      PMCID: PMC5333284     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  11 in total

1.  Integration of genomic data in Electronic Health Records--opportunities and dilemmas.

Authors:  U Sax; S Schmidt
Journal:  Methods Inf Med       Date:  2005       Impact factor: 2.176

Review 2.  The genome-enabled electronic medical record.

Authors:  M A Hoffman
Journal:  J Biomed Inform       Date:  2006-03-15       Impact factor: 6.317

3.  Integration of clinical and genetic data in the i2b2 architecture.

Authors:  Shawn N Murphy; Michael E Mendis; David A Berkowitz; Isaac Kohane; Henry C Chueh
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary.

Authors:  S M Huff; R A Rocha; C J McDonald; G J De Moor; T Fiers; W D Bidgood; A W Forrey; W G Francis; W R Tracy; D Leavelle; F Stalling; B Griffin; P Maloney; D Leland; L Charles; K Hutchins; J Baenziger
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

5.  Incorporating personalized gene sequence variants, molecular genetics knowledge, and health knowledge into an EHR prototype based on the Continuity of Care Record standard.

Authors:  Xia Jing; Stephen Kay; Thomas Marley; Nicholas R Hardiker; James J Cimino
Journal:  J Biomed Inform       Date:  2011-09-17       Impact factor: 6.317

6.  HGVS Recommendations for the Description of Sequence Variants: 2016 Update.

Authors:  Johan T den Dunnen; Raymond Dalgleish; Donna R Maglott; Reece K Hart; Marc S Greenblatt; Jean McGowan-Jordan; Anne-Francoise Roux; Timothy Smith; Stylianos E Antonarakis; Peter E M Taschner
Journal:  Hum Mutat       Date:  2016-03-25       Impact factor: 4.878

Review 7.  Cancer biomarkers: the role of structured data reporting.

Authors:  Ross W Simpson; Michael A Berman; Philip R Foulis; Dimitrios X G Divaris; George G Birdsong; Jaleh Mirza; Richard Moldwin; Samantha Spencer; John R Srigley; Patrick L Fitzgibbons
Journal:  Arch Pathol Lab Med       Date:  2014-10-02       Impact factor: 5.534

8.  Technical desiderata for the integration of genomic data into Electronic Health Records.

Authors:  Daniel R Masys; Gail P Jarvik; Neil F Abernethy; Nicholas R Anderson; George J Papanicolaou; Dina N Paltoo; Mark A Hoffman; Isaac S Kohane; Howard P Levy
Journal:  J Biomed Inform       Date:  2011-12-27       Impact factor: 6.317

9.  Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support.

Authors:  Casey Lynnette Overby; Peter Tarczy-Hornoch; James I Hoath; Ira J Kalet; David L Veenstra
Journal:  BMC Bioinformatics       Date:  2010-10-28       Impact factor: 3.169

10.  Ensembl comparative genomics resources.

Authors:  Javier Herrero; Matthieu Muffato; Kathryn Beal; Stephen Fitzgerald; Leo Gordon; Miguel Pignatelli; Albert J Vilella; Stephen M J Searle; Ridwan Amode; Simon Brent; William Spooner; Eugene Kulesha; Andrew Yates; Paul Flicek
Journal:  Database (Oxford)       Date:  2016-05-02       Impact factor: 3.451

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  3 in total

Review 1.  Genomics and electronic health record systems.

Authors:  Lucila Ohno-Machado; Jihoon Kim; Rodney A Gabriel; Grace M Kuo; Michael A Hogarth
Journal:  Hum Mol Genet       Date:  2018-05-01       Impact factor: 6.150

2.  A Model Information Management Plan for Molecular Pathology Sequence Data Using Standards: From Sequencer to Electronic Health Record.

Authors:  Walter S Campbell; Alexis B Carter; Allison M Cushman-Vokoun; Timothy C Greiner; Rajesh C Dash; Mark Routbort; Monica E de Baca; James R Campbell
Journal:  J Mol Diagn       Date:  2019-02-20       Impact factor: 5.568

3.  Structured Data Capture for Oncology.

Authors:  Alexander K Goel; Walter Scott Campbell; Richard Moldwin
Journal:  JCO Clin Cancer Inform       Date:  2021-02
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