OR-Twin
Surgical and Interventional Procedures of the Future
The operating room is a highly technical environment that brings together a diverse team of highly trained professionals. The technical and cognitive demands placed on surgeons and their teams are steadily increasing, driven by procedural and logistical complexity, time pressure linked to performance-based valuation of activity, the need for rapid yet reliable decision-making, and strict adherence to best practices. The central challenge remains risk management, which directly impacts patient safety.In response, the OR Twin project seeks to develop a digital twin of the operating room, namely, a dynamic model that faithfully represents the real-time functioning of the OR during surgery. Its goal is to identify and anticipate risk-prone situations through the coherent integration of human, technical, and organizational factors. The approach is modular, encompassing multiple dimensions, including cognitive, surgical, environmental, team-based, device-related, and logistical aspects. By correlating heterogeneous data sources and applying machine learning methods, OR Twin enables the analysis of surgical procedures, assessment of workflows, detection of unsafe behaviors or configurations, and optimization of organizational processes, both in real time and retrospectively.
Project Leader
Prof. Marc-Olivier Gauci, University Professor – Hospital Practitioner (Orthopedic Surgeon) – Principal Investigator, ICARE team, Nice University Hospital (CHU Nice).
Project Team
Dr. Isa Costantini, Project Manager, Nice University Hospital (CHU Nice).Vanessa Lopez, Research Engineer, Nice University Hospital (CHU Nice).
Dr. Stéphanie Lopez, Senior Engineer, MSI – Center for Modeling, Simulation, and Interactions, Université Côte d’Azur.
Partners
Médicis Team, LTSI Rennes.Team Leader: Pierre Jannin.