Evidence map›Paper›PMID 34915320›Full record

ArticleInternational journal of medical informatics2022

Usability barriers and facilitators of a human factors engineering-based clinical decision support technology for diagnosing pulmonary embolism.

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

Abstract read
In one paragraph

Article in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Barriers to and Facilitators of Technology Adoption in Emergency Departments: A Comprehensive Review.International journal of environmental research and public health · 2025
    Review
  3. Article
  4. Article
  5. 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

6 authors.

Megan E SalweiCenter for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: megan.salwei@vumc.org.
Pascale CarayonDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: pcarayon@wisc.edu.
Douglas WiegmannDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: dawiegmann@wisc.edu.
Michael S PuliaDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: mspulia@medicine.wisc.edu.
Brian W PattersonDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: bpatter@medicine.wisc.edu.
Peter L T HoonakkerWisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: peter.hoonakker@wisc.edu.

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
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
AHRQ HHS K08 HS024342AHRQ HHS K08 HS024558AHRQ HHS K12 HS026395AHRQ HHS R01 HS022086NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

backgroundHealth IT, such as clinical decision support (CDS), has the potential to improve patient safety. However, poor usability of health IT continues to be a major concern. Human factors engineering (HFE) approaches are recommended to improve the usability of health IT. Limited evidence exists on the actual impact of HFE methods and principles on the usability of health IT.

objectiveTo identify and describe the usability barriers and facilitators of an HFE-based CDS prior to implementation in the emergency department (ED).

methodsWe conducted debrief interviews with 32 emergency medicine physicians as a part of a scenario-based simulation study evaluating the usability of the HFE-based CDS. We performed a deductive content analysis of the interviews using the usability criteria of Scapin and Bastien as a framework.

resultsWe identified 271 occurrences of usability barriers (94) and facilitators (177) of the HFE-based CDS. For instance, we found a facilitator relating to the usability criteria prompting as the PE Dx helps the physician order diagnostic tests following the risk assessment. We found the most facilitators relating to the criteria, minimal actions, e.g. as the PE Dx automatically populates vitals signs (e.g., heart rate) from the chart into the CDS. The majority of the usability barriers related to the usability criteria, compatibility (i.e., workflow integration), which was not explicitly considered in the HFE design of the CDS. For example, the CDS did not support resident and attending physician teamwork in the PE diagnostic process.

conclusionThe systematic use of HFE principles in the design of CDS improves the usability of these technologies. In order to further reduce usability barriers, workflow integration should be explicitly considered in the design of health IT.

Indexed as

Clinical decision supportEmergency medicineHuman factors engineeringUsability evaluationWorkflow integration

Identifiers

PMID34915320
PMCPMC9177900

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.