Evidence map›Paper›PMID 29853440›Full record

ReviewJMIR human factors2018

The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review.

Saif Sherif Khairat, Aniesha Dukkipati, Heather Alico Lauria, Thomas Bice, Debbie Travers, Shannon S Carson

Registry-linked trialAbstract readReview
In one paragraph

Review in JMIR human factors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04845698 (Application of i-Dashboard for Multi-disciplinary Rounds in Surgical Intensive Care Units), which is not on this map. Cited by 82 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 7 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.

NCT04845698 nacompletednot on this mapstarted 2021, after this paper: background citation

Application of i-Dashboard for Multi-disciplinary Rounds in Surgical Intensive Care Units

TypeinterventionalSponsorNational Cheng-Kung University HospitalRan2021 to 2021Enrolled144ConditionsWorkflow, Communication, Quality of Health CareArmsi-Dashboard
3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Factors associated with nurse well-being in relation to electronic health record use: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

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.

Saif Sherif KhairatUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-8992-2946
Aniesha DukkipatiUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-2562-1167
Heather Alico LauriaUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-9308-3209
Thomas BiceUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0001-7300-3219
Debbie TraversUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-5656-8610
Shannon S CarsonUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0001-7983-1410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensive Care Units (ICUs) in the United States admit more than 5.7 million people each year. The ICU level of care helps people with life-threatening illness or injuries and involves close, constant attention by a team of specially-trained health care providers. Delay between condition onset and implementation of necessary interventions can dramatically impact the prognosis of patients with life-threatening diagnoses. Evidence supports a connection between information overload and medical errors. A tool that improves display and retrieval of key clinical information has great potential to benefit patient outcomes. The purpose of this review is to synthesize research on the use of visualization dashboards in health care.

objectiveThe purpose of conducting this literature review is to synthesize previous research on the use of dashboards visualizing electronic health record information for health care providers. A review of the existing literature on this subject can be used to identify gaps in prior research and to inform further research efforts on this topic. Ultimately, this evidence can be used to guide the development, testing, and implementation of a new solution to optimize the visualization of clinical information, reduce clinician cognitive overload, and improve patient outcomes.

methodsArticles were included if they addressed the development, testing, implementation, or use of a visualization dashboard solution in a health care setting. An initial search was conducted of literature on dashboards only in the intensive care unit setting, but there were not many articles found that met the inclusion criteria. A secondary follow-up search was conducted to broaden the results to any health care setting. The initial and follow-up searches returned a total of 17 articles that were analyzed for this literature review.

resultsVisualization dashboard solutions decrease time spent on data gathering, difficulty of data gathering process, cognitive load, time to task completion, errors, and improve situation awareness, compliance with evidence-based safety guidelines, usability, and navigation.

conclusionsResearchers can build on the findings, strengths, and limitations of the work identified in this literature review to bolster development, testing, and implementation of novel visualization dashboard solutions. Due to the relatively few studies conducted in this area, there is plenty of room for researchers to test their solutions and add significantly to the field of knowledge on this subject.

Indexed as

cognitive loadelectronic health recordhealth information technologyinformation overloadintensive care unitusabilityuser interface designvisualization, Dashboard

Identifiers

PMID29853440
PMCPMC6002673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.