Abstract
Emergency services are meant to ensure the timely delivery of essential healthcare services to people using complex systems. If emergency services use real-time patient information to select the most suitable emergency option, it will allow the service provider to more quickly conduct a detailed physical examination to diagnose the problem and to determine a treatment plan that will suit the patient. Emergency departments offer various services and have several components that are conducted under complex management. This study examined previous research on engineering systems and the evaluation of the quality of healthcare systems. These studies considered the level of patient satisfaction and investigated how healthcare is influenced by operational management. The research also indicated that real-time data are very helpful for mangers in emergency departments to help them make appropriate decisions. This finding implies that patient satisfaction can be ensured through the extraction of data about the issues related to proper, operational, and effective management. Patient satisfaction and the quality of services and care delivered can be enhanced to improve the patient’s overall experience by using development strategies and quality evaluation in EDs. The previous research conducted on the management and processes of emergency departments was systematically reviewed and classified. This study reviewed research conducted between 2000 and 2019 to understand how emergency departments used processes, addressed issues, and resolved issues when considering the patient in an ideal healthcare setting with a high standard of operation management. Emergency services are significant for everyone because anyone may need these services at any time. This study uses the data from the last 20 years to investigate the methods employed during that time in emergency department operations.
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Ben Zayed, S., Gani, A.B., Gadelrab, H.F., Bin Othman, M.K. (2021). Decades Trend of Emergency Department System Operations. In: Operational Management in Emergency Healthcare. Studies in Systems, Decision and Control, vol 297. Springer, Cham. https://doi.org/10.1007/978-3-030-53832-3_3
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