Objectives: This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory at the Emergency Department (ED) to estimate patients’ wait time, and predict the accuracy of queuing theory. Methods: According to the statistics, the peak months were July and August, with peak hours from 10 am until 6 pm. The study sample was a week of July 2022, during the peak days and hours. Patients’ wait- time was measured according to three stations: the health informatics desk, triage room, and emergency bed area. Results: The average number of patients in the line at the health informatics desk was not more than 3, and the waiting time was between 1 and 4 minutes. Since patients were receiving the service immediately in the triage room, there was no waiting time or line because the nurse’s role ends after taking the vital signs and rating the patient’s acuity. Using equations of queuing theory and other relativistic equations in the emergency bed area gave different results. To explain, the queuing theory showed that the average residence time in the system was between 4 and 10 minutes. Conclusions: Conversely, relativistic equations (ratios of served patients and departed patients and other related variables) demonstrated that the average residence time was between 21 and 36 minutes.

Objectives This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory approach at the Emergency Department (ED) to estimate patients’ wait times and predict the accuracy of the queuing theory approach. Methods According to the statistics, the peak months were July and August, with peak hours from 10 a.m. until 6 p.m. The study sample was a week in July 2022, during the peak days and hours. This study measured patients’ wait times at these three stations: the health informatics desk, triage room, and emergency bed area. Results The average number of patients in line at the health informatics desk was not more than 3, and the waiting time was between 1 and 4 min. Since patients were receiving the service immediately in the triage room, there was no waiting time or line because the nurse’s role ended after taking the vital signs and rating the patient’s disease acuity. Using equations of queuing theory and other relativistic equations in the emergency bed area gave different results. The queuing theory approach showed that the average residence time in the system was between 4 and 10 min. Conclusions Conversely, relativistic equations (ratios of served patients and departed patients and other related variables) demonstrated that the average residence time was between 21 and 36 min.

Objectives In this research, the author revised the most controversial cited articles, which have 100 citations or more, between 1994 and 2022 to investigate the main reasons behind narrow bracketing and understand if it is rational psychological behavior or biased. Knowing the result would give scholars room to tackle this issue and look for more enhancements. Methods All open-access and non-restricted articles through the University of Pécs website were included, as were downloadable handbooks as well, but books were excluded. Due to time limitations and grasping pure results, the articles with 100 citations and above between 1994 and 2022 were selected. Results The author discovered that scholars discussed "choice bracketing" from their niche corner of science and letting other factors influence their research after thoroughly researching the literature. Accepting or rejecting the lottery, as well as decision differences between two separate choices, or a binary of choices, are not solely determined by determining factors such as bracketing or motivation, and they are not necessarily biased. Conclusions The author has elaborated and drawn maps for most factors that intervene in decision-making. However, by collecting the most debatable opinions from the literature, it was found that people’s decisions are driven by maximizing utility and loss aversion regarding wealth and income, individual psychology (emotions, heuristics, mental accounting), limitations of rationality and uncertainty, preferences and motivation, diversification limits, and time allocation. However, this is a psychological mode of thought that is limited to stimuli, timing, and rule factors. JEL Code: A14, D1, D71, D81, D83.

Objectives This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory at the Emergency Department (ED). Methods According to the statistics, the peak months were July and August, with peak hours from 10 am until 6 pm. The study sample was a week of July 2022, during the peak days and hours. Patients’ wait- time was measured according to three stations: the health informatics desk, triage room, and emergency bed area. Results The average number of patients in the line at the health informatics desk was not more than 3, and the waiting time was between 1 and 4 minutes. Hence, patients immediately received service in the triage room; hence; there was no waiting time or line because the nurse’s role ends after taking the vital signs and rating the patient’s acuity. Using equations of queuing theory and other relativistic equations in the emergency bed area gave different results. To explain, the queuing theory showed that the average residence time in the system was between 4 and 10 minutes. Conclusions Conversely, relativistic equations (ratios of served patients and departed patients and other related variables) demonstrated that the average residence time was between 21 and 36 minutes.