Evidence map›Paper›PMID 34706395›Full record

ArticleApplied clinical informatics2021

Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden.

Amanda J Moy, Lucy Aaron, Kenrick D Cato, Jessica M Schwartz, Jonathan Elias, Richard Trepp, Sarah Collins Rossetti

Open access · bronzeAbstract read
In one paragraph

Article 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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
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  6. Assessing genetic counseling efficiency with natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2026
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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

7 authors at 3 institutions in 1 country.

Amanda J MoyDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Lucy AaronDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, United States.
Kenrick D CatoDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, United States.
Jessica M SchwartzColumbia University School of Nursing, New York, New York, United States.
Jonathan EliasDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States.
Richard TreppDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, United States.
Sarah Collins RossettiDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Columbia University · USColumbia University Irving Medical Center · USCornell University · US

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
5T15LM007079 U.S. National Library of Medicine of the National Institutes of Health5T32NR007969 National Institute of Nursing ResearchNINR NIH HHS T32 NR007969NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

backgroundThe impact of electronic health records (EHRs) in the emergency department (ED) remains mixed. Dynamic and unpredictable, the ED is highly vulnerable to workflow interruptions.

objectivesThe aim of the study is to understand multitasking and task fragmentation in the clinical workflow among ED clinicians using clinical information systems (CIS) through time-motion study (TMS) data, and inform their applications to more robust and generalizable measures of CIS-related documentation burden.

methodsUsing TMS data collected among 15 clinicians in the ED, we investigated the role of documentation burden, multitasking (i.e., performing physical and communication tasks concurrently), and workflow fragmentation in the ED. We focused on CIS-related tasks, including EHRs.

resultsWe captured 5,061 tasks and 877 communications in 741 locations within the ED. Of the 58.7 total hours observed, 44.7% were spent on CIS-related tasks; nearly all CIS-related tasks focused on

conclusionMultitasking and workflow fragmentation may play a significant role in EHR documentation among ED clinicians, particularly among

Indexed as

DocumentationElectronic Health RecordsEmergency Service, HospitalHumansTime and Motion StudiesWorkflow

Identifiers

PMID34706395
PMCPMC8550823
OpenAlexW3211204911

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.