A health 4.0 integrated system for monitoring and predicting patient's health during surgical procedures

In this work, an innovative system architecture for enhancing patient's health monitoring during surgical procedure is proposed. The proposed integrated system consists of a video see-through (VST) headset (worn by anesthetist or nurses or other member of the surgical team involved in the procedure), which shows in real-time a comprehensive set of information on the patient's health status.In particular, the operator can visualize in real-time the patient's vitals acquired from the operating room (OR) equipment and access the electronic medical records. The proposed system was designed in view of robotic surgery; therefore, an additional function is that the VST will display the real-time view of what the surgeon is looking at on his console. Finally, the system will also include a machine-learning algorithm which, starting from the medical records and from the monitored vitals, will predict possible aggravating conditions of the patient's health and provide a timely alert.The present work focuses on creating the implementation framework of the whole system, and on real-time monitoring of the patient's vitals.