Objectives The fragmentation of healthcare data in Italy and the increase in demand in emergency departments (EDs) require innovative solutions to improve operational flows, quality of care, and decision-making. This study presents EmergInsight, a prototype interactive real-time dashboard designed to optimize ED operations through the visualization and analysis of clinical and operational data. Materials and Methods EmergInsight was tested on data from the "San Giovanni di Dio e Ruggi d'Aragona"University Hospital (Salerno, Italy) from 2022 to 2023. The dashboard integrates performance indicators, geospatial maps, trend analysis, and predictive tools, structured into four modules focused on operational efficiency, acuity management, resource utilization, and demand forecasting. Results EmergInsight revealed seasonal access patterns, high green code prevalence, early dropouts, and frequent Intensive Short Observation (OBI) use in elderly patients. Geographic maps identified high-care demand areas, while the predictive module provided timely and reliable forecasts of patient access. Discussion and Conclusion EmergInsight facilitates proactive ED management, improving resource allocation and supporting data-driven decisions.
EmergInsight: a real-time dashboard for optimizing emergency care through data visualization and analytics
Branda, Francesco;Ciccozzi, Massimo
2026-01-01
Abstract
Objectives The fragmentation of healthcare data in Italy and the increase in demand in emergency departments (EDs) require innovative solutions to improve operational flows, quality of care, and decision-making. This study presents EmergInsight, a prototype interactive real-time dashboard designed to optimize ED operations through the visualization and analysis of clinical and operational data. Materials and Methods EmergInsight was tested on data from the "San Giovanni di Dio e Ruggi d'Aragona"University Hospital (Salerno, Italy) from 2022 to 2023. The dashboard integrates performance indicators, geospatial maps, trend analysis, and predictive tools, structured into four modules focused on operational efficiency, acuity management, resource utilization, and demand forecasting. Results EmergInsight revealed seasonal access patterns, high green code prevalence, early dropouts, and frequent Intensive Short Observation (OBI) use in elderly patients. Geographic maps identified high-care demand areas, while the predictive module provided timely and reliable forecasts of patient access. Discussion and Conclusion EmergInsight facilitates proactive ED management, improving resource allocation and supporting data-driven decisions.| File | Dimensione | Formato | |
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