Abstract

A queueing system can be described as patients arriving for service, waiting for service if it is not immediate, utilizing the service and leaving the system after being served. The queueing model is constructed so that queue lengths and waiting time can be predicted.Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on applying the queueing model to the remote patient medical monitoring system. This was achieved by writing a java program which adapts an M/M/1queueing model that employs the first come first serve discipline to store the patients’ medical records generated by a simulated mobile phone called the Intelligent Personal Digital Assistant according to when they arrive at the queue. The queueing model gives the summary of the total number of readings generated for each patient and also plots a graph so that the doctor can see the progression of each patient’s readings at a glance. The result of this research work produces an enhanced remote patient medical monitoring system which has the capacity to save lives.

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