Evidence map›Paper›PMID 24071794›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2013

A survey of informatics approaches to whole-exome and whole-genome clinical reporting in the electronic health record.

Peter Tarczy-Hornoch, Laura Amendola, Samuel J Aronson, Levi Garraway, Stacy Gray, Robert W Grundmeier, Lucia A Hindorff, Gail Jarvik, Dean Karavite, Matthew Lebo and 5 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  9. Interactive or static reports to guide clinical interpretation of cancer genomics.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  10. Article
  11. Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  12. Article
  13. Article
  14. Big Data Analytics for Genomic Medicine.International journal of molecular sciences · 2017
    Review
  15. Review
  16. Article
  17. Article
  18. Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016
    Review
  19. The genomic CDS sandbox: An assessment among domain experts.Journal of biomedical informatics · 2016
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Peter Tarczy-Hornoch1] National Institutes of Health National Human Genome Research Institute Clinical Sequencing Exploratory Research Electronic Medical Records Working Group, Bethesda, Maryland, USA [2] University of Washington, Seattle, Washington, USA.
Laura Amendola
Samuel J Aronson
Levi Garraway
Stacy Gray
Robert W Grundmeier
Lucia A Hindorff
Gail Jarvik
Dean Karavite
Matthew Lebo
Sharon E Plon
Eliezer Van Allen
Karen E Weck
Peter S White
Yaping Yang

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
NHLBI Pediatric Translational Consortium Administrative Coordinating CenterU01HL098188 · NHLBI · NEW ENGLAND RESEARCH INSTITUTES, INC. · PI HAMZA, TAYE, MILLER, JULIE ELAINE · 2009 to 2015
$41.3M
North Carolina Clinical Genomic Evaluation by Next-gen Exome Sequencing 2U01HG006487 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, POWELL, BRADFORD C. · 2012 to 2021
$22.7M
Measuring Perceptions of Utility of Clinical Genome Sequencing: Instrument Testing and ValidationU01HG006485 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI MCGUIRE, AMY L, PARSONS, DONALD W. · 2012 to 2021
$22.1M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Clinical sequencing in cancer: Clinical ethical and technological studiesU01HG006507 · NHGRI · UNIVERSITY OF WASHINGTON · PI JARVIK, GAIL PAIRITZ · 2012 to 2016
$10.6M
Applying Genomic Sequencing in PediatricsU01HG006546 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI KRANTZ, IAN D. · 2012 to 2016
$10.6M
The Use of Whole-Exome Sequencing to Guide the Care of Cancer PatientsU01HG006492 · NHGRI · DANA-FARBER CANCER INST · PI JANNE, PASI A, VAN ALLEN, ELIEZER M · 2012 to 2016
$7.3M
Genetic Discovery and Application in a Clinical Setting Continuing a PartnershipU01HG006375 · NHGRI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI JARVIK, GAIL PAIRITZ, LARSON, ERIC B · 2011 to 2014
$4.1M
CSER RoRC Centralized Support Coordinating CenterU01HG007307 · NHGRI · UNIVERSITY OF WASHINGTON · PI BURKE, WYLIE G., JARVIK, GAIL PAIRITZ · 2013 to 2016
$3.6M
Refining IT Support for Genetics in MedicineRC1LM010526 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI BATES, DAVID W., MD,MSC · 2009 to 2010
$995k
NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1TR000423NCRR NIH HHS UL1RR02574NHGRI NIH HHS U01HG00637NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006485NHGRI NIH HHS U01HG006485NHGRI NIH HHS U01 HG006487NHGRI NIH HHS U01HG006487NHGRI NIH HHS U01 HG006492NHGRI NIH HHS U01HG006492NHGRI NIH HHS U01 HG006500NHGRI NIH HHS U01HG006500NHGRI NIH HHS U01 HG006507NHGRI NIH HHS U01HG006507NHGRI NIH HHS U01 HG006546NHGRI NIH HHS U01HG006546NHGRI NIH HHS U01 HG007307NHLBI NIH HHS U01 HL098188NHLBI NIH HHS U01HL098188NLM NIH HHS RC1 LM010526NLM NIH HHS RC1LM010526PHS HHS KG100355
6 · The paper itself

Abstract

purposeGenome-scale clinical sequencing is being adopted more broadly in medical practice. The National Institutes of Health developed the Clinical Sequencing Exploratory Research (CSER) program to guide implementation and dissemination of best practices for the integration of sequencing into clinical care. This study describes and compares the state of the art of incorporating whole-exome and whole-genome sequencing results into the electronic health record, including approaches to decision support across the six current CSER sites.

methodsThe CSER Medical Record Working Group collaboratively developed and completed an in-depth survey to assess the communication of genome-scale data into the electronic health record. We summarized commonalities and divergent approaches.

resultsDespite common sequencing platform (Illumina) adoptions, there is a great diversity of approaches to annotation tools and workflow, as well as to report generation. At all sites, reports are human-readable structured documents available as passive decision support in the electronic health record. Active decision support is in early implementation at two sites.

conclusionThe parallel efforts across CSER sites in the creation of systems for report generation and integration of reports into the electronic health record, as well as the lack of standardized approaches to interfacing with variant databases to create active clinical decision support, create opportunities for cross-site and vendor collaborations.

Indexed as

Decision Support Systems, ClinicalExomeGenome, HumanHealth SurveysMedical InformaticsElectronic Health RecordsHigh-Throughput Nucleotide SequencingHumansNational Institutes of Health (U.S.)Sequence AnalysisUnited StatesWorkflow

Identifiers

PMID24071794
PMCPMC3951437

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.