Evidence map›Paper›PMID 42184374›Full record

ArticleJournal of medical Internet research2026

From Design to Accountable Impact for Data Dashboards in Health Care.

Barbara-Jo Achuff

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Barbara-Jo AchuffDepartment of Pediatrics, Department of Biomedical Informatics, Vanderbilt School of Medicine, Vanderbilt University Medical Center, 2200 Children's Way, 5121 DOT, Nashville, TN, 37232, United States, 1 615-343-2996.ORCID http://orcid.org/0000-0002-7390-1948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Vornhagen and colleagues synthesize design practices for the development of health care dashboards and provide a timely reference for a rapidly expanding class of tools that increasingly mediate clinical decisions and quality improvement. The authors have defined 4 pillars of design with associated practices, establishing a practical approach to the thoughtful development of useful dashboards. Building on these pillars, this commentary proposes accountable dashboarding, defined as making explicit the causal chain linking data sources and governance to visualization, interpretation, action, and measurable outcomes. Dashboards could be treated as sociotechnical interventions in which upstream choices are inseparable from the user interface and downstream decision-making. Evaluation should extend beyond usability and satisfaction to include decision quality and behavioral proxies, unintended consequences, and patient-centered outcomes of dashboard-informed interventions.

Indexed as

Delivery of Health CareDashboard SystemsHumansclinical decision supportdata governancedata qualitydata visualizationhealth care dashboardsimplementation sciencequality improvementvisual analyticsworkflow integration

Identifiers

PMID42184374
PMCPMC13200798

What OpenQuestion holds

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LicenceCC BY
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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.