This paper presents a novel method to predict the occlusion of a withdrawing cannula during extracorporeal circulation due to a networked intensive care setup. During in-vivo experiments we were able to detect the cannula suction up to 90 seconds prior to the collapse of extracorporeal blood flow. The elaborated metric is based on heart rate, extracorporeal blood flow and blood pressure at the withdrawing cannula conjoined in a cyber-medical system.