Evidence map›Paper›PMID 42021830›Full record

ArticleMedical journal of the Islamic Republic of Iran2025

From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.

Mahni Mehdibagli, Reza Safdari, Mahboobeh Mirzaee

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2025. 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

3 authors.

Mahni MehdibagliDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-9271-2341
Reza SafdariHealth Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Mahboobeh MirzaeeHealth Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global healthcare landscape is undergoing a significant transformation, and healthcare systems are operating in increasingly complex environments. Nevertheless, patient safety remains a central concern in hospital-based care. Current patient safety measurement approaches are primarily based on practices originating from the predigital era. In contrast, health information technology offers a promising and viable solution to address this critical need. Therefore, this study aimed to design and evaluate a patient safety dashboard. Methods: This descriptive developmental study was conducted in 3 phases. Phase I included a literature review and a 2-round Delphi survey with 60 patient safety experts to identify and validate indicators (questionnaire reliability: Cronbach's alpha = 0.91). Phase II involved designing the dashboard using QlikView and FreePlane software, integrating data in Excel, and developing visual and functional features. Phase III involved evaluation by an IT specialist using a structured framework and usability testing with ten end-users, conducted via the System Usability Scale (SUS). Results: A total of 62 key patient safety indicators were identified and classified into 8 main categories. These indicators were integrated into a prototype dashboard with a hierarchical structure enabling multidimensional analysis and interactive visual features. Evaluation showed an overall compliance rate of 80.92% across dashboard design criteria, with the highest compliance in architecture, layout, and analytical features (100%). Usability assessment using the SUS among 10 users yielded an average score of 82.99, indicating high user satisfaction. Conclusion: This study developed and evaluated a patient safety dashboard to support clinical decision-making. The dashboard facilitates monitoring safety incidents, root cause analysis, and trend comparison over time. Evaluation using a structured framework confirmed the design quality and usability of the system, highlighting its potential to improve continuous patient safety monitoring and outcomes in healthcare settings.

Indexed as

DashboardData VisualizationDecision-makingDesignEvaluationPatient SafetyPatient Safety Indicators

Identifiers

PMID42021830
PMCPMC13097191

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.