Evidence map›Paper›PMID 32308829›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants.

Paul Dexter, Henry Ong, Amanda Elsey, Gillian Bell, Nephi Walton, Wendy Chung, Luke Rasmussen, Kevin Hicks, Aniwaa Owusu-Obeng, Stuart Scott and 2 more

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Impact of integrating genomic data into the electronic health record on genetics care delivery.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  3. The Role of Electronic Health Records in Advancing Genomic Medicine.Annual review of genomics and human genetics · 2021
    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

12 authors.

Paul DexterIndiana University School of Medicine, Indianapolis, IN.
Henry OngVanderbilt University Medical Center, Nashville, TN.
Amanda ElseyUniversity of Florida, Gainesville, FL.
Gillian BellMission Health, Asheville, NC.
Nephi WaltonGeisinger Health System, Danville, PA.
Wendy ChungColumbia University, New York, NY.
Luke RasmussenNorthwestern University, Chicago, IL.
Kevin HicksMoffitt Cancer Center, Tampa, FL.
Aniwaa Owusu-ObengIcahn School of Medicine at Mount Sinai, New York, NY.
Stuart ScottIcahn School of Medicine at Mount Sinai, New York, NY.
Steve EllisIcahn School of Medicine at Mount Sinai, New York, NY.
Josh PetersonVanderbilt University Medical Center, Nashville, TN.

Funding

Implementing genomic medicine through pragmatic trials in diverse and underserved populations across Indiana.U01HG010245 · NHGRI · INDIANA UNIVERSITY INDIANAPOLIS · PI DEXTER, PAUL, SKAAR, TODD C. · 2018 to 2024
$9.4M
Embedding Pharmacogenotyping in an Integrated Health System for the UnderservedU01HG007762 · NHGRI · INDIANA UNIVERSITY INDIANAPOLIS · PI DEXTER, PAUL, SKAAR, TODD C. · 2014 to 2018
$4.4M
NHGRI NIH HHS U01 HG007762NHGRI NIH HHS U01 HG010245
6 · The paper itself

Abstract

Precision health's more individualized molecular approach will enrich our understanding of disease etiology and patient outcomes. Universal implementation of precision health will not be feasible, however, until there is much greater automation of processes related to genomic data transmission, transformation, and interpretation. In this paper, we describe a framework for genomic data flow developed by the Clinical Informatics Work Group of the NIH National Human Genome Research Institute (NHGRI) IGNITE Network consortium. We subsequently report the results of a genomic data flow survey administered to sites funded by NIH-NHGRI for large scale genomic medicine implementations. Finally, we discuss insights and challenges identified through these survey results as they relate to both the current and a desirable future state of genomic data flow.

Indexed as

GenomeGenomicsInformation DisseminationPrecision MedicineComputational BiologyDatabases, GeneticElectronic Health RecordsHumansInformation SystemsKnowledge BasesNational Human Genome Research Institute (U.S.)Surveys and QuestionnairesUnited States

Identifiers

PMID32308829
PMCPMC7153090

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.