Evidence map›Paper›PMID 27830215›Full record

ArticleJournal of family medicine2016

Taming the EHR (Electronic Health Record) - There is Hope.

Y T DiAngi, C A Longhurst, T H Payne

Abstract read
In one paragraph

Article in Journal of family medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Optimizing Surgeon Well-Being: A Review and Synthesis of Best Practices.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Y T DiAngiClinical Informatics, Stanford Health Care, Primary Care, Stanford Children's Health, Stanford University, Palo Alto, CA, USA.
C A LonghurstClinical and Biomedical Informatics, University of California San Diego Health Sciences, San Diego, CA, USA.
T H PayneInformation Technology Services, University of Washington Medicine; Department of Medicine, University of Washington; Departments of Health Services and Biomedical Informatics & Medical Education, University of Washington, Seattle, WA, USA.

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
NCATS NIH HHS UL1 TR001085NCRR NIH HHS UL1 RR025744
6 · The paper itself

Abstract

With increasing diffusion of EHR technology over the last half decade, clinician burnout is rising. As healthcare is a complex and highly regulated field, the rapid and mass adoption of EHR technology has created disruption for highly skilled workers such as clinicians. Although, much has been written about dissatisfaction with the EHR (electronic health record), a paucity of immediate solutions exists in the literature. This article suggests three actionable steps health systems and clinicians can make to expedite gains from and mitigate the effect of the EHR on clinical practice.

Indexed as

Clinician burnoutElectronic health recordHealth care workforcePrimary health care

Identifiers

PMID27830215
PMCPMC5098336

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.