Evidence map›Paper›PMID 33979874›Full record

ArticleApplied clinical informatics2021

Infobuttons for Genomic Medicine: Requirements and Barriers.

Luke V Rasmussen, John J Connolly, Guilherme Del Fiol, Robert R Freimuth, Douglas B Pet, Josh F Peterson, Brian H Shirts, Justin B Starren, Marc S Williams, Nephi Walton and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 9 institutions in 1 country.

Luke V RasmussenDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois, United Sates.
John J ConnollyThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United Sates.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United Sates.
Robert R FreimuthDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United Sates.
Douglas B PetDepartment of Neurology, University of California San Francisco, San Francisco, California, United Sates.
Josh F PetersonDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United Sates.
Brian H ShirtsDepartment of Laboratory Medicine, University of Washington, Seattle, Washington, United Sates.
Justin B StarrenDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois, United Sates.
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, United Sates.
Nephi WaltonGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, United Sates.
Casey Overby TaylorGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, United Sates.
Northwestern University · USChildren's Hospital of Philadelphia · USIntermountain Healthcare · USJohns Hopkins Medicine · USMayo Clinic in Florida · USUniversity of California, San Francisco · USUniversity of Utah · USUniversity of Washington · USVanderbilt University · US

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 HG008701NIMHD NIH HHS U54 MD007593
6 · The paper itself

Abstract

objectivesThe study aimed to understand potential barriers to the adoption of health information technology projects that are released as free and open source software (FOSS).

methodsWe conducted a survey of research consortia participants engaged in genomic medicine implementation to assess perceived institutional barriers to the adoption of three systems: ClinGen electronic health record (EHR) Toolkit, DocUBuild, and MyResults.org. The survey included eight barriers from the Consolidated Framework for Implementation Research (CFIR), with additional barriers identified from a qualitative analysis of open-ended responses.

resultsWe analyzed responses from 24 research consortia participants from 18 institutions. In total, 14 categories of perceived barriers were evaluated, which were consistent with other observed barriers to FOSS adoption. The most frequent perceived barriers included lack of adaptability of the system, lack of institutional priority to implement, lack of trialability, lack of advantage of alternative systems, and complexity.

conclusionIn addition to understanding potential barriers, we recommend some strategies to address them (where possible), including considerations for genomic medicine. Overall, FOSS developers need to ensure systems are easy to trial and implement and need to clearly articulate benefits of their systems, especially when alternatives exist. Institutional champions will remain a critical component to prioritizing genomic medicine projects.

Indexed as

Medical InformaticsMedicineElectronic Health RecordsGenomicsHumansQualitative Research

Identifiers

PMID33979874
PMCPMC8116174
OpenAlexW3160562845

What OpenQuestion holds

Textmetadata
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.