Out-Of-Order Events Processing: Healthcare Use Case

Abstract

Radio Frequency Identification technologies has entered the healthcare domain because of its enhanced functionality, low cost, high accuracy and easy to use capacities. However, network latencies and machine failure may cause events to arrive out-of-order at the event processing engine. Hence, imperfections in event delivery are due to incoherences and failure between different sensors or machines. To cope with those problems, we propose in this paper, a method that efficiently handles out-of-order events at a time window. The proposed solution is based on dating each event and characterizing it by two sets; the past set which include all past events and a future set which includes all futures events. An experiment was designed in order to verify and test the proposed solution. Using this method, events are ordered to be analysed later in order to support real time decision making.