Evidence map›Paper›PMID 28166896›Full record

ArticleApplied ergonomics2017

Usability evaluation of an emergency department information system prototype designed using cognitive systems engineering techniques.

Lindsey N Clark, Natalie C Benda, Sudeep Hegde, Nicolette M McGeorge, Theresa K Guarrera-Schick, A Zachary Hettinger, David T LaVergne, Shawna J Perry, Robert L Wears, Rollin J Fairbanks and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied ergonomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Lindsey N ClarkNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington D.C., USA.
Natalie C BendaNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington D.C., USA; Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA.
Sudeep HegdeDepartment of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA.
Nicolette M McGeorgeDepartment of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA.
Theresa K Guarrera-SchickDepartment of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA.
A Zachary HettingerNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington D.C., USA; Department of Emergency Medicine, Georgetown University School of Medicine, Washington D.C., USA.
David T LaVergneDepartment of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA.
Shawna J PerryDepartment of Emergency Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Robert L WearsDepartment of Emergency Medicine, University of Florida, Gainesville, FL, USA; Clinical Safety Research Unit, Imperial College London, London, UK.
Rollin J FairbanksNational Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, Washington D.C., USA; Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA; Department of Emergency Medicine, Georgetown University School of Medicine, Washington D.C., USA.
Ann M BisantzDepartment of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA. Electronic address: Bisantz@buffalo.edu.

Funding

Cognitive Engineering for Complex Decision Making & Problem Solving in Acute CareR01HS022542 · AHRQ · MEDSTAR HEALTH RESEARCH INSTITUTE · PI HETTINGER, AARON ZACHARY · 2014 to 2018
$2.5M
Immersive Simulation for Design and Evaluation of an Emergency Department ITR18HS020433 · AHRQ · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BISANTZ, ANN · 2011 to 2013
$1.0M
Human factors engineering to optimize design of imaging systems for non-radiologK08EB009090 · NIBIB · UNIVERSITY OF ROCHESTER · PI FAIRBANKS, ROLLIN J · 2009 to 2012
$624k
AHRQ HHS R01 HS022542AHRQ HHS R18 HS020433NIBIB NIH HHS K08 EB009090
6 · The paper itself

Abstract

This article presents an evaluation of novel display concepts for an emergency department information system (EDIS) designed using cognitive systems engineering methods. EDISs assist emergency medicine staff with tracking patient care and ED resource allocation. Participants performed patient planning and orientation tasks using the EDIS displays and rated the display's ability to support various cognitive performance objectives along with the usability, usefulness, and predicted frequency of use for 18 system components. Mean ratings were positive for cognitive performance support objectives, usability, usefulness, and frequency of use, demonstrating the successful application of design methods to create useful and usable EDIS concepts that provide cognitive support for emergency medicine staff. Nurse and provider roles had significantly different perceptions of the usability and usefulness of certain EDIS components, suggesting that they have different information needs while working.

Indexed as

Emergency Service, HospitalInformation SystemsSoftware DesignUser-Computer InterfaceCognitionErgonomicsHumansPatient Identification SystemsTask Performance and AnalysisWorkflowWorkloadElectronic department information systemsHuman factors methodsPatient tracking systemsUsability

Identifiers

PMID28166896
PMCPMC5377444

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.