Evidence map›Paper›PMID 27864204›Full record

ReviewAmerican journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2016

Integrating pharmacogenomics into electronic health records with clinical decision support.

J Kevin Hicks, Henry M Dunnenberger, Karl F Gumpper, Cyrine E Haidar, James M Hoffman

Abstract readReview
In one paragraph

Review in American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The role ofExpert review of clinical pharmacology · 2022
    Pooled it
  2. Pharmacogenomic Studies in Intellectual Disabilities and Autism Spectrum Disorder: A Systematic Review.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2021
    Pooled it
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22 more citing papers are in PubMed but not listed here.

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

5 authors.

J Kevin HicksDeBartolo Family Personalized Medicine Institute and Department of Population Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Henry M DunnenbergerCenter for Molecular Medicine, NorthShore University HealthSystem, Evanston, IL.
Karl F GumpperDepartment of Pharmacy, Boston Children's Hospital, Boston, MA.
Cyrine E HaidarDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN.
James M HoffmanDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN. james.hoffman@stjude.org.

Funding

Clinical Pharmacogenetics Implementation Consortium (CPIC)R24GM115264 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI KLEIN, TERI ELLEN, RELLING, MARY V · 2015 to 2017
$3.6M
NIGMS NIH HHS R24 GM115264
6 · The paper itself

Abstract

purposeExisting pharmacogenomic informatics models, key implementation steps, and emerging resources to facilitate the development of pharmacogenomic clinical decision support (CDS) are described. SUMMARY: Pharmacogenomics is an important component of precision medicine. Informatics, especially CDS in the electronic health record (EHR), is a critical tool for the integration of pharmacogenomics into routine patient care. Effective integration of pharmacogenomic CDS into the EHR can address implementation challenges, including the increasing volume of pharmacogenomic clinical knowledge, the enduring nature of pharmacogenomic test results, and the complexity of interpreting results. Both passive and active CDS provide point-of-care information to clinicians that can guide the systematic use of pharmacogenomics to proactively optimize pharmacotherapy. Key considerations for a successful implementation have been identified; these include clinical workflows, identification of alert triggers, and tools to guide interpretation of results. These considerations, along with emerging resources from the Clinical Pharmacogenetics Implementation Consortium and the National Academy of Medicine, are described.

conclusionThe EHR with CDS is essential to curate pharmacogenomic data and disseminate patient-specific information at the point of care. As part of the successful implementation of pharmacogenomics into clinical settings, all relevant clinical recommendations pertaining to gene-drug pairs must be summarized and presented to clinicians in a manner that is seamlessly integrated into the clinical workflow of the EHR. In some situations, ancillary systems and applications outside the EHR may be integrated to augment the capabilities of the EHR.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsHumansPharmacogeneticsPoint-of-Care SystemsPrecision Medicineclinical decision support systemsClinical Pharmacogenetics Implementation Consortium (CPIC)electronic health recordspharmacogenomicsprecision medicine

Identifiers

PMID27864204
PMCPMC5117634

What OpenQuestion holds

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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.