Evidence map›Paper›PMID 31591640›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Integrating pharmacogenomics into the electronic health record by implementing genomic indicators.

Pedro J Caraballo, Joseph A Sutton, Jyothsna Giri, Jessica A Wright, Wayne T Nicholson, Iftikhar J Kullo, Mark A Parkulo, Suzette J Bielinski, Ann M Moyer

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
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  15. Review
  16. Article
  17. Pharmacogenomics · 2023
    Article
  18. Article
  19. Article
  20. How to Implement a Pharmacogenetics Service at your Institution.Journal of the American College of Clinical Pharmacy : JACCP · 2022
    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

9 authors.

Pedro J CaraballoDivision of General Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Joseph A SuttonDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota.
Jyothsna GiriCenter for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Jessica A WrightDepartment of Pharmacy Services, Mayo Clinic, Rochester, Minnesota, USA.
Wayne T NicholsonDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Mark A ParkuloCenter for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Suzette J BielinskiDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Ann M MoyerDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
6 · The paper itself

Abstract

Pharmacogenomics (PGx) clinical decision support integrated into the electronic health record (EHR) has the potential to provide relevant knowledge to clinicians to enable individualized care. However, past experience implementing PGx clinical decision support into multiple EHR platforms has identified important clinical, procedural, and technical challenges. Commercial EHRs have been widely criticized for the lack of readiness to implement precision medicine. Herein, we share our experiences and lessons learned implementing new EHR functionality charting PGx phenotypes in a unique repository, genomic indicators, instead of using the problem or allergy list. The Gen-Ind has additional features including a brief description of the clinical impact, a hyperlink to the original laboratory report, and links to additional educational resources. The automatic generation of genomic indicators from interfaced PGx test results facilitates implementation and long-term maintenance of PGx data in the EHR and can be used as criteria for synchronous and asynchronous CDS.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsGenomicsPharmacogeneticsPrecision MedicineDecision Support TechniquesHumansclinical decision support systemsdelivery of health careelectronic health recordmedical informaticsmedication therapy managementpharmacogeneticsprecision medicine

Identifiers

PMID31591640
PMCPMC6913212

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.