Evidence map›Paper›PMID 34182430›Full record

ArticleApplied ergonomics2021

Workflow integration analysis of a human factors-based clinical decision support in the emergency department.

Megan E Salwei, Pascale Carayon, Peter L T Hoonakker, Ann Schoofs Hundt, Douglas Wiegmann, Michael Pulia, Brian W Patterson

Abstract read
In one paragraph

Article in Applied ergonomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Megan E SalweiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, USA; Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, USA. Electronic address: megan.salwei@vumc.org.
Pascale CarayonDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.
Peter L T HoonakkerWisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.
Ann Schoofs HundtWisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.
Douglas WiegmannDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.
Michael PuliaWisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA; BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, USA.
Brian W PattersonDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA; BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, USA.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Health IT-supported process for preventing and managing VTER01HS022086 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI CARAYON, PASCALE · 2013 to 2017
$2.5M
AHRQ HHS R01 HS022086NCATS NIH HHS UL1 TR002373NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Numerous challenges with the implementation, acceptance, and use of health IT are related to poor usability and a lack of integration of the technologies into clinical workflow, and have, therefore, limited the potential of these technologies to improve patient safety. We propose a definition and conceptual model of health IT workflow integration. Using interviews of 12 emergency department (ED) physicians, we identify 134 excerpts of barriers and facilitators to workflow integration of a human factors (HF)-based clinical decision support (CDS) implemented in the ED. Using data on these 134 barriers and facilitators, we distinguish 25 components of workflow integration of the CDS, which are described according to four dimensions of workflow integration: time, flow, scope of patient journey, and level. The proposed definition and conceptual model of workflow integration can be used to inform health IT design; this is the purpose of the proposed checklist that can help to ensure consideration of workflow integration during the development of health IT.

Indexed as

Decision Support Systems, ClinicalPhysiciansChecklistEmergency Service, HospitalHumansWorkflowClinical decision supportEmergency departmentHealth ITUsabilityWorkflow integration

Identifiers

PMID34182430
PMCPMC8474147

What OpenQuestion holds

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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.