Evidence map›Paper›PMID 26605115›Full record

ArticleJournal of pathology informatics2015

Practical considerations in genomic decision support: The eMERGE experience.

Timothy M Herr, Suzette J Bielinski, Erwin Bottinger, Ariel Brautbar, Murray Brilliant, Christopher G Chute, Beth L Cobb, Joshua C Denny, Hakon Hakonarson, Andrea L Hartzler and 20 more

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Delivering genomic medicine in the United Kingdom National Health Service: a systematic review and narrative synthesis.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Pooled it
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Meeting the challenge: Health information technology's essential role in achieving precision medicine.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  10. Article
  11. Pharmacogenomics.Lancet (London, England) · 2019
    Review
  12. Review
  13. Preliminary outcomes of preemptive warfarin pharmacogenetic testing at a large rural healthcare center.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2019
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

30 authors.

Timothy M HerrDepartment of Preventive Medicine, Division of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Suzette J BielinskiDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Erwin BottingerThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine, Mount Sinai, New York, USA.
Ariel BrautbarDivision of Genetics and Endocrinology, Cook Children's Medical Center, Fort Worth, Texas, USA.
Murray BrilliantCenter for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA.
Christopher G ChuteDivision of General Internal Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Beth L CobbCincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University, Baltimore, MD, USA.
Hakon HakonarsonDepartment of Pediatrics, The Children's Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Andrea L HartzlerGroup Health Research Institute, Seattle, Washington, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University Medical Center, New York, USA.
Joseph KannryIcahn School of Medicine, Mount Sinai, New York, USA.
Isaac S KohaneCenter for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Iftikhar J KulloDivision of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
Simon LinNationwide Children's Hospital, Columbus, Ohio, USA.
Shannon ManziDepartment of Pharmacy, Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
Keith MarsoloDepartment of Pediatrics, University of Cincinnati College of Medicine, Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Casey Lynnette OverbyUniversity of Maryland School of Medicine, Baltimore, Maryland, USA.
Jyotishman PathakDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Peggy PeissigBiomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA.
Jill PulleyVanderbilt University School of Medicine, Nashville, Tennessee, USA.
James RalstonGroup Health Research Institute, Seattle, Washington, USA.
Luke RasmussenDepartment of Preventive Medicine, Division of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Dan M RodenVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Gerard TrompWeis Center for Research, Geisinger Clinic, Danville, Pennsylvania, USA.
Timothy UphoffMolecular Pathology, Mashfield Labs, Marshfield, Wisconsin, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, USA.
Wendy WolfDepartment of Pediatrics, Harvard Medical School, Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
Marc S WilliamsGenomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA.
Justin StarrenDepartment of Preventive Medicine, Division of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
eMERGE Coordinating Center - Administrative SupplementU01HG006385 · NHGRI · VANDERBILT UNIVERSITY · PI HARRIS, PAUL A. · 2011 to 2014
$5.4M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
Biorepository for Genomic Medicine in diverse CommunitiesU01HG006380 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOTTINGER, ERWIN P. · 2011 to 2015
$4.5M
Geisinger eGenonic Medicine (GeM) ProgramU01HG006382 · NHGRI · GEISINGER CLINIC · PI CAREY, DAVID J., WILLIAMS, MARC S. · 2011 to 2014
$4.3M
A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE ExperienceU01HG006388 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHISHOLM, REX L, SMITH, MAUREEN E · 2011 to 2014
$4.1M
IRIS: Incorporating Research Into SightU01HG006389 · NHGRI · ESSENTIA INSTITUTE OF RURAL HEALTH · PI MCCARTY, CATHERINE ANNE · 2011 to 2014
$4.1M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR001422NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG006380NHGRI NIH HHS U01 HG006382NHGRI NIH HHS U01 HG006385NHGRI NIH HHS U01 HG006388NHGRI NIH HHS U01 HG006389NHGRI NIH HHS U01 HG006828NHGRI NIH HHS U01 HG006830NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008672NIGMS NIH HHS R01 GM105688NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

backgroundGenomic medicine has the potential to improve care by tailoring treatments to the individual. There is consensus in the literature that pharmacogenomics (PGx) may be an ideal starting point for real-world implementation, due to the presence of well-characterized drug-gene interactions. Clinical Decision Support (CDS) is an ideal avenue by which to implement PGx at the bedside. Previous literature has established theoretical models for PGx CDS implementation and discussed a number of anticipated real-world challenges. However, work detailing actual PGx CDS implementation experiences has been limited. Anticipated challenges include data storage and management, system integration, physician acceptance, and more.

methodsIn this study, we analyzed the experiences of ten members of the Electronic Medical Records and Genomics (eMERGE) Network, and one affiliate, in their attempts to implement PGx CDS. We examined the resulting PGx CDS system characteristics and conducted a survey to understand the unanticipated implementation challenges sites encountered.

resultsTen sites have successfully implemented at least one PGx CDS rule in the clinical setting. The majority of sites elected to create an Omic Ancillary System (OAS) to manage genetic and genomic data. All sites were able to adapt their existing CDS tools for PGx knowledge. The most common and impactful delays were not PGx-specific issues. Instead, they were general IT implementation problems, with top challenges including team coordination/communication and staffing. The challenges encountered caused a median total delay in system go-live of approximately two months.

conclusionsThese results suggest that barriers to PGx CDS implementations are generally surmountable. Moreover, PGx CDS implementation may not be any more difficult than other healthcare IT projects of similar scope, as the most significant delays encountered were not unique to genomic medicine. These are encouraging results for any institution considering implementing a PGx CDS tool, and for the advancement of genomic medicine.

Indexed as

Clinical decision supportgenomic medicinepersonalized health carepharmacogenomicsprecision medicine

Identifiers

PMID26605115
PMCPMC4629307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.