Ambulance Transfer and Emergency Department Processing: Modelling and Simulation

Abstract

Emergency services aim to use complex systems to ensure the provision of fundamental healthcare services to the patient at the appropriate time. Patients approaching the emergency department are examined in detail by healthcare providers. The care providers aim to obtain real-time data about the patients to detect the issues and quickly decide the appropriate treatment plan. Emergency Departments (EDs) are run by complex management systems and render diverse healthcare services. The assessment of the service quality in the emergency departments has improved significantly with the development of tools and systems of performance assessment in underdeveloped countries. These assessments are based on the views of the patients. In this context, the aim of this study was to formulate a highly sensitive assessment tool that is appropriate for simulation experiments. This assessment tool was validated and had a kappa value of 0.763 and a Cronbach’s alpha value of 0.827. The use of this tool for the assessment of healthcare standards resulted in the collection of valid and reliable data. The probability density distribution was used to check the accuracy of the results of the simulation experiment data, and all data adequately followed a normal distribution. Furthermore, 90% of the simulated cases were found to be within the optimal range.