Fig. 1

The chain of liability involved in implementing wearable devices for postoperative monitoring in surgical ward is illustrated. In the event of an alarm, nursing staff can assess whether it is a device failure or a true clinical alarm. In the latter case, complementary vital signs allow the nurse to decide whether to continue monitoring or alert the ward physician. When called, the physician will make a clinical assessment and decide how to proceed. The technical and engineering staff, on the other hand, are tasked with monitoring the proper functioning of the equipment and managing the big data system that may emerge. Moreover, through the exploitation of intelligent analysis systems, this data could also serve as fuel to finally build customized early warning systems and simultaneously to create algorithms for optimizing device performance (AI, artificial intelligence)