ArticleMedical journal of the Islamic Republic of Iran2025
From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
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.