Evidence map›Paper›PMID 33657633›Full record

Observational studyApplied clinical informatics2021

Physician Workflow in Two Distinctive Emergency Departments: An Observational Study.

Vimla L Patel, Courtney A Denton, Hiral C Soni, Thomas G Kannampallil, Stephen J Traub, Jason S Shapiro

Abstract readObservational Study
In one paragraph

Observational study in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Inferring EHR Utilization Workflows through Audit Logs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
    Article
  9. Article
  10. 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

6 authors.

Vimla L PatelCognitive Studies in Medicine and Public Health, The New York Academy of Medicine, New York, New York, United States.
Courtney A DentonCognitive Studies in Medicine and Public Health, The New York Academy of Medicine, New York, New York, United States.
Hiral C SoniBiomedical Informatics, College of Health Solutions, Arizona State University, Phoenix, Arizona, United States.
Thomas G KannampallilDepartment of Anesthesiology and Institute for Informatics, Washington University School of Medicine, Saint Louis, Missouri, United States.
Stephen J TraubDepartment of Emergency Medicine, Mayo Clinic, Phoenix, Arizona, United States.
Jason S ShapiroDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States.

Funding

Impact of Meaningful Use on Clinical Workflow in Emergency DepartmentsR01HS022670 · AHRQ · NEW YORK ACADEMY OF MEDICINE · PI PATEL, VIMLA L. · 2014 to 2014
$979k
AHRQ HHS R01 HS022670
6 · The paper itself

Abstract

objectivesWe characterize physician workflow in two distinctive emergency departments (ED). Physician practices mediated by electronic health records (EHR) are explored within the context of organizational complexity for the delivery of care.

methodsTwo urban clinical sites, including an academic teaching ED, were selected. Fourteen physicians were recruited. Overall, 62 hours of direct clinical observations were conducted characterizing clinical activities (EHR use, team communication, and patient care). Data were analyzed using qualitative open-coding techniques and descriptive statistics. Timeline belts were used to represent temporal events.

resultsAt site 1, physicians, engaged in more team communication, followed by direct patient care. Although physicians spent 61% of their clinical time at workstations, only 25% was spent on the EHR, primarily for clinical documentation and review. Site 2 physicians engaged primarily in direct patient care spending 52% of their time at a workstation, and 31% dedicated to EHRs, focused on chart review. At site 1, physicians showed nonlinear complex workflow patterns with a greater frequency of multitasking and interruptions, resulting in workflow fragmentation. In comparison, at site 2, a less complex environment with a unique patient assignment system, resulting in a more linear workflow pattern.

conclusionThe nature of the clinical practice and EHR-mediated workflow reflects the ED work practices. Physicians in more complex organizations may be less efficient because of the fragmented workflow. However, these effects can be mitigated by effort distribution through team communication, which affords inherent safety checks.

Indexed as

Emergency Service, HospitalPhysiciansWorkflowDocumentationElectronic Health RecordsHumans

Identifiers

PMID33657633
PMCPMC7929719

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.