Medical Journal of the Islamic Republic Of Iran

en From Data to Decision: Design and Evaluation of a Patient Safety Dashboard Health System Health System Original Research Original Research 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.   Dashboard, Patient Safety, Patient Safety Indicators, Design, Evaluation, Data Visualization, Decision-making 1183 1191 http://mjiri.iums.ac.ir/browse.php?a_code=A-10-9511-1&slc_lang=en&sid=1 Mahni Mehdibagli mahni.mehdibagli@gmail.com 200319475328460094404 200319475328460094404 Yes Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran Reza Safdari rsafdari@tums.ac.ir 200319475328460094405 200319475328460094405 No Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran Mahboobeh Mirzaee mirzaee.m2534@gmail.com 200319475328460094406 200319475328460094406 No Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran