Evidence map›Paper›PMID 31724143›Full record

ArticleApplied clinical informatics2019

Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center.

Danny T Y Wu, Scott Vennemeyer, Kelly Brown, Jason Revalee, Paul Murdock, Sarah Salomone, Ashton France, Katherine Clarke-Myers, Samuel P Hanke

Abstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Systematic review and narrative synthesis of computerized audit and feedback systems in healthcare.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

9 authors.

Danny T Y WuDepartment of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States.
Scott VennemeyerDepartment of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States.
Kelly BrownHeart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Jason RevaleeDAAP School of Design, University of Cincinnati, Cincinnati, Ohio, United States.
Paul MurdockDepartment of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States.
Sarah SalomoneDepartment of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States.
Ashton FranceHeart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Katherine Clarke-MyersHeart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Samuel P HankeDepartment of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInteractive data visualization and dashboards can be an effective way to explore meaningful patterns in large clinical data sets and to inform quality improvement initiatives. However, these interactive dashboards may have usability issues that undermine their effectiveness. These usability issues can be attributed to mismatched mental models between the designers and the users. Unfortunately, very few evaluation studies in visual analytics have specifically examined such mismatches between these two groups.

objectivesWe aimed to evaluate the usability of an interactive surgical dashboard and to seek opportunities for improvement. We also aimed to provide empirical evidence to demonstrate the mismatched mental models between the designers and the users of the dashboard.

methodsAn interactive dashboard was developed in a large congenital heart center. This dashboard provides real-time, interactive access to clinical outcomes data for the surgical program. A mixed-method, two-phase study was conducted to collect user feedback. A group of designers (

resultsThe participating users gave an average SUS score of 82.9 on the new dashboard and 63.5 on the existing dashboard (

conclusionWe conducted a mixed-method usability study on an interactive surgical dashboard and identified areas of improvements. Our study design can be an effective and efficient way to evaluate visual analytics systems in health care. We encourage researchers and practitioners to conduct user-centered evaluation and implement education plans to mitigate potential usability challenges and increase user satisfaction and adoption.

Indexed as

Electronic Health RecordsQuality of Health CareUser-Computer InterfaceHeart DiseasesHumans

Identifiers

PMID31724143
PMCPMC6853805

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.