Emergency Medicine 4.0 is a national project (PRIN project).
The main goal of this project is to reduce Emergency Department (ED) overcrowding and improve ED performances by enabling real-time process monitoring and dynamic management of patient-flows and ED resources through the most recent data-driven analysis techniques (e.g., Machine Learning, Process Mining, Statistical Learning, and Process Simulation). The final aim is to propose an integrated data-driven approach supporting the management of emergency medicine at a territorial or regional level.
The project consortium comprises an interdisciplinary team of researchers hailing from three prominent Italian universities: University of Pisa, University of Bergamo, and University of Padova. With backgrounds in management engineering and computer science, our research themes cover operations management, healthcare management, business process analytics, optimization models, business process management, and process mining.
Project funded by the European Union – NextGenerationEU under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.1 – Call PRIN 2022 PNRR No. 1409 of September 14, 2022 of Italian Ministry of University and Research; Project P20222XM58 (subject area: SH – Social Sciences and Humanities) “Emergency medicine 4.0: an integrated data-driven approach to improve emergency department performances”