Evidence map›Paper›PMID 26146597›Full record

ArticleCurrent genetic medicine reports2014

Pragmatic and Ethical Challenges of Incorporating the Genome into the Electronic Medical Record.

Adam A Nishimura, Peter Tarczy-Hornoch, Brian H Shirts

Abstract read
In one paragraph

Article in Current genetic medicine reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Adam A NishimuraDepartment of Biomedical Informatics and Medical Education, University of Washington.
Peter Tarczy-HornochDepartment of Biomedical Informatics and Medical Education, University of Washington ; Department of Pediatrics, University of Washington ; Department of Computer Science and Engineering, University of Washington.
Brian H ShirtsDepartment of Laboratory Medicine, University of Washington.

Funding

Clinical sequencing in cancer: Clinical ethical and technological studiesU01HG006507 · NHGRI · UNIVERSITY OF WASHINGTON · PI JARVIK, GAIL PAIRITZ · 2012 to 2016
$10.6M
Institute of Translational Health SciencesTL1TR000422 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$2.1M
NCATS NIH HHS TL1 TR000422NHGRI NIH HHS U01 HG006507
6 · The paper itself

Abstract

Recent successes in the use of gene sequencing for patient care highlight the potential of genomic medicine. For genomics to become a part of usual care, pertinent elements of a patient's genomic test must be communicated to the most appropriate care providers. Electronic medical records may serve as a useful tool for storing and disseminating genomic data. Yet, the structure of existing EMRs and the nature of genomic data pose a number of pragmatic and ethical challenges in their integration. Through a review of the recent genome-EMR integration literature, we explore concrete examples of these challenges, categorized under four key questions: What data will we store? How will we store it? How will we use it? How will we protect it? We conclude that genome-EMR integration requires a rigorous, multi-faceted and interdisciplinary approach of study. Problems facing the field are numerous, but few are intractable.

Indexed as

clinical decision supportclinical genomicsclinical informaticsComputerized Prescriber Order Entryelectronic medical recordsGenomic medicinegenotypeimplementation scienceindividualized medicinepersonalized medicinepharmacogeneticspharmacogenomicstranslational research

Identifiers

PMID26146597
PMCPMC4489153

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.