Evidence map›Paper›PMID 33936464›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2020

Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden.

Amanda J Moy, Jessica M Schwartz, Jonathan Elias, Seemab Imran, Eugene Lucas, Kenrick D Cato, Sarah Collins Rossetti

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  2. Review
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  12. Predicting next-day discharge via electronic health record access logs.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
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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.

Amanda J MoyColumbia University Department of Biomedical Informatics, NY, NY.
Jessica M SchwartzColumbia University School of Nursing, NY, NY.
Jonathan EliasColumbia University Department of Biomedical Informatics, NY, NY.
Seemab ImranNewYork-Presbyterian Hospital, NY, NY.
Eugene LucasColumbia University Department of Biomedical Informatics, NY, NY.
Kenrick D CatoColumbia University School of Nursing, NY, NY.
Sarah Collins RossettiColumbia University Department of Biomedical Informatics, NY, NY.

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Communicating Narrative Concerns Entered by RNs (CONCERN)R01NR016941 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Kenrick Dwain Cato, Sarah Collins Rossetti · 2017 to 2026
$6.7M
NINR NIH HHS R01 NR016941NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

Clinical documentation burden has been broadly acknowledged, yet few interprofessional measures of burden exist. Using interprofessional time-motion study (TMS) data, we evaluated clinical workflows with a focus on electronic health record (EHR) utilization and fragmentation among 47 clinicians: 34 advanced practice providers (APPs) and 13 registered nurses (RNs) from: an acute care unit (n=15 observations [obs]), intensive care unit (n

Indexed as

DocumentationElectronic Health RecordsWorkflowAdolescentAdultCritical CareEmergency Service, HospitalFemaleHumansIntensive Care UnitsMaleMiddle AgedTime and Motion StudiesYoung Adult

Identifiers

PMID33936464
PMCPMC8075533

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.