Evidence map›Paper›PMID 33930535›Full record

ArticleJournal of biomedical informatics2021

Genomic considerations for FHIR®; eMERGE implementation lessons.

Mullai Murugan, Lawrence J Babb, Casey Overby Taylor, Luke V Rasmussen, Robert R Freimuth, Eric Venner, Fei Yan, Victoria Yi, Stephen J Granite, Hana Zouk and 16 more

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Development and application of a computable genotype model in the GA4GH Variation Representation Specification.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  13. Article
  14. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  15. Article
  16. Review
  17. Review
  18. Genetic testing in ambulatory cardiology clinics reveals high rate of findings with clinical management implications.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
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

26 authors.

Mullai MuruganHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. Electronic address: murugan@bcm.edu.
Lawrence J BabbMedical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Casey Overby TaylorDepartments of Medicine and Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Luke V RasmussenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Robert R FreimuthDepartment of Digital Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Eric VennerHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Fei YanHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Victoria YiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Stephen J GraniteDepartments of Medicine and Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hana ZoukLaboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Samuel J AronsonPartners Personalized Medicine, Partners HealthCare, Cambridge, MA, USA.
Kevin PowerCerner Corporation, Kansas City, MO, USA.
Alex FedotovIrving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
David R CrosslinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
David FaselDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Gail P JarvikDepartment of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, USA.
Hakon HakonarsonCenter for Applied Genomics, Children's Hospital of Philadelphia, PA, USA.
Hana BangashDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
John J ConnollyCenter for Applied Genomics, Children's Hospital of Philadelphia, PA, USA.
Jordan G NestorDepartment of Medicine, Division of Nephrology, Columbia University, New York, NY, USA.
Pedro J CaraballoDepartment of Medicine and Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
WeiQi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Ken WileyNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Heidi L RehmMedical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.

Funding

Technologies and Resources CoreU54MD007593 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ADUNYAH, SAMUEL EVANS · 2012 to 2018
$24.7M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
DNA Sequencing Support for the eMERGE NetworkU01HG008664 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2015 to 2019
$10.9M
Global Alliance for Genomic Health (GA4GH)U01HG008676 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LENNON, NIALL JOHN, REHM, HEIDI L · 2015 to 2019
$8.6M
The Electronic Medical Records and Genomics (eMERGE) Network Phase III Coordinating Center (U01)U01HG008701 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PETERSON, JOSEPH F. · 2015 to 2019
$7.1M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
The Future of Genomics Medicine in Patient Care: Contributions from CHOPU01HG008684 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2015 to 2019
$5.0M
OMOP information model for eMERGE phenotypingU01HG008679 · NHGRI · GEISINGER CLINIC · PI WILLIAMS, MARC S. · 2015 to 2019
$4.4M
Geisinger eGenonic Medicine (GeM) ProgramU01HG006382 · NHGRI · GEISINGER CLINIC · PI CAREY, DAVID J., WILLIAMS, MARC S. · 2011 to 2014
$4.3M
NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG006382NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008664NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG008672NHGRI NIH HHS U01 HG008673NHGRI NIH HHS U01 HG008676NHGRI NIH HHS U01 HG008679NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008684NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG008701NIDDK NIH HHS L30 DK122442NIDDK NIH HHS T32 DK108741NIMHD NIH HHS U54 MD007593
6 · The paper itself

Abstract

Structured representation of clinical genetic results is necessary for advancing precision medicine. The Electronic Medical Records and Genomics (eMERGE) Network's Phase III program initially used a commercially developed XML message format for standardized and structured representation of genetic results for electronic health record (EHR) integration. In a desire to move towards a standard representation, the network created a new standardized format based upon Health Level Seven Fast Healthcare Interoperability Resources (HL7® FHIR®), to represent clinical genomics results. These new standards improve the utility of HL7® FHIR® as an international healthcare interoperability standard for management of genetic data from patients. This work advances the establishment of standards that are being designed for broad adoption in the current health information technology landscape.

Indexed as

Electronic Health RecordsMedical InformaticsGenomicsHealth Level SevenHumansPrecision MedicineClinical decision supportClinical genomicsElectronic health record (EHR)Genetic test resultsHL7® FHIR® standardInteroperability

Identifiers

PMID33930535
PMCPMC8583906

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.