A Digital Twin Ecosystem for monitoring and KPI analysis in a surgical department

In recent years the healthcare has seen a general digital transformation in order to improve the quality of the services delivered, material and staff logistic, specialistic visits and surgeries planning and last but not least creating a more patient-centric vision, to give the necessary importance to his hospital journey. Each health system has its own metrics to measure and calculate performance of different types, so data collection and processes monitoring becomes crucial to give the correct vision of the reality and supporting the directive staff to take decisions. This is valid in every healthcare area, for example the operating room, that is a particular environment that needs to be under certain conditions in order to guarantee the patient's safety. The next possible chapter of digitalization is represented by Digital Twin, dynamic digital replica of any physical asset, with an arbitrary level of detail and fidelity. This could lead the realization of a new smart and predictive healthcare ecosystem, offering full interoperability between organizations and a better patient focus, aggregating data from different sources for a holistic vision. Our project focuses on the application of a Digital Twins ecosystem to a surgical department to elaborate KPIs and tracking all the interested physical assets, validated through an ad hoc simulation of a real surgical department.