Emergency department systems engineering: Modelling and event simulation / Salman Zayed O Alharethi

Salman Zayed , O Alharethi (2020) Emergency department systems engineering: Modelling and event simulation / Salman Zayed O Alharethi. PhD thesis, Universiti Malaya.

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Abstract

Emergency department systems are meant to ensure the timely delivery for essential healthcare services through complex systems. (ED) offers various services and have several components in its parts. Examined long previous research on system engineering and quality of healthcare resulting on these are influenced by operational management. Real time data are very helpful for decision making for any systems. Patient output feedback and satisfaction can be ensured with engineered management. EDs have become evident particularly in current scenario when the world is in the grip of the deadly COVID-19. All this implies that analysis is significant for improvement of services in the emergency department. Digital health has become an essential feature of the healthcare sector specifically in present situation of COVID-19 pandemic. Capacity of ED resources are over-utilized and insufficient. Capacity management is less quality and poor specially in devolving countries. Overcrowd patients’ arrival put resources at high usages, Management readiness is not capable to mobilize available resources at very minimum time. Performance of ED is failed due to huge volume of unexpected patients. Absence of a model for simulating the KPIs of ED based on real time events to enhance advance decisions. Operational effective management is absent within Patient ambulance transfer. Abstraction of research from 2000 to 2019 to understand emergency department processes was involved to create taxonomy on emergency services and its operations management. The last twenty year’s methods, problems, solutions allocated with emergency department were abstracted. The assessment of service quality of emergency departments improved significantly with the development of new tool of system performance indicators. In this context, the formulation of sensitive assessment proved to be appropriate for simulation experiment. The new tool was validated and showed the value of Kappa to be 0.763 and reliability Cronbach’s alpha to be 0.827. a reduction of patient waiting time at emergency department specially in Saudi Arabia as 38.57 percent less than current actual waiting time at medium hazard scenarios for door-to-door service time and with 61.63 percent of ED possessing time in Malaysia. Ninety percent of simulated cases was found to be within optimal range for data was collected before COVID-19 pandemic.

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