Towards simulation of patient data for evaluation of E-health platform and services.

This paper presents the design and implementation of the Patient Simulator, a software application used for the simulation of patient data. The simulator aims to evaluate e- Health platforms and services in regards to efficiency, reliability, security and scalability without the need to use real patient data. Using discrete event based simulation in conjunction with random normal distribution techniques, preliminary prototyping of the Patient Simulator shows that it is capable of generating five vital physiological signs including heart rate, blood pressure, body temperature, oxygen levels and respiration rate. Offline performance evaluation of the software shows that it is capable of simulating up to 10,000 patients with average CPU utilisation of 57.53% and memory usage of 159.30 MB. Future work aims to validate the accuracy of data simulated along with integrating the simulator with existing e-Health technologies to evaluate the capabilities of this software in an online environment.

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