scholarly journals Optimising Outpatient Pharmacy Staffing to Minimise Patients Queue Time using Discrete Event Simulation

2021 ◽  
Vol 7 (2) ◽  
pp. 102
Author(s):  
Putri Amelia ◽  
Artya Lathifah ◽  
Muhammad Dliya'ul Haq ◽  
Christoph Lorenz Reimann ◽  
Yudi Setiawan
Keyword(s):  
Waiting Time ◽  
Discrete Event ◽  
Outpatient Service ◽  
Simulation Method ◽  
Quality Of Services ◽  
Discrete Simulation ◽  
Event Simulation ◽  
Unit System ◽  
Effectiveness Analysis

Background: To remain relevant in the customer-oriented market, hospitals must pay attention to the quality of services and meet customers' expectations from admission to discharge stage. For an outpatient customer, pharmacy is the last unit visited before discharge. It is likely to influence patient satisfaction and reflect the quality of hospital's service. However, at certain hospitals, the waiting time is long. Resources need to be deployed strategically to reduce queue time. Objective: This research aims to arrange the number of staff (pharmacists and workers) in each station in the pharmacy outpatient service to minimise the queue time.Methods: A discrete simulation method is used to observe the waiting time spent at the pharmacy. The simulation run is valid and effective to test the scenario. Results: It is recommended to add more personnel for the non-compounding medicine and packaging to reduce the waiting time by 22.41%Conclusion: By adding personnel to non-compounding and packaging stations, the system performance could be improved. Cost-effectiveness analysis should be done to corroborate the finding. Keywords: Discrete Event Simulation, Hospital, Outpatient Service, Pharmacy Unit, System AnalysisBackground: To remain relevant in the customer-oriented market, hospitals must pay attention to the quality of services and meet customers' expectations from admission to discharge stage. For an outpatient customer, pharmacy is the last unit visited before discharge. It is likely to influence patient satisfaction and reflect the quality of hospital's service. However, at certain hospitals, the waiting time is long. Resources need to be deployed strategically to reduce queue time. Objective: This research aims to arrange the number of staff (pharmacists and workers) in each station in the pharmacy outpatient service to minimise the queue time.Methods: A discrete simulation method is used to observe the waiting time spent at the pharmacy. The simulation run is valid and effective to test the scenario. Results: It is recommended to add more personnel for the non-compounding medicine and packaging to reduce the waiting time by 22.41%Conclusion: By adding personnel to non-compounding and packaging stations, the system performance could be improved. Cost-effectiveness analysis should be done to corroborate the finding. Keywords:Discrete Event Simulation, Hospital, Outpatient Service, Pharmacy Unit, System Analysis

scholarly journals The Effectiveness of Using Discrete Event Simulation to Optimize the Quality of Service of Outpatient in Iraq: A Case Study

2021 ◽  
Vol 8 (1) ◽  
pp. 40-49
Author(s):  
Maysoon A. Mohammed ◽  
Shaymaa Kadhim Mohsin ◽  
Sarah Jasim Mohammed
Keyword(s):  
Waiting Time ◽  
Discrete Event ◽  
Outpatient Clinics ◽  
Discrete Events ◽  
Event Simulation ◽  
Dental Clinics ◽  
Long Time ◽  
Rich Material

One of the most important healthcare institutions in Iraq is Outpatient clinic that requires a lot of thinking to improve the way to provide services and the nature of care. Outpatient clinics are increasingly keen to meet the needs of care, and this has been recognized as a fundamental issue related to service quality. Therefore, many researchers in various fields have taken this matter as a basis for their research, as it is considered a rich material for research due to the problems these institutions contain. The most important problems faced by outpatient clinics are the waiting time and the insufficient number of clinic staff to perform the various tasks. The aim of this paper is to reduce the waiting time by building a model for the clinic environment, especially dental clinics, and trying to benefit from all the existing medical staff and exploit their experiences. Since the patient spends a long time between registration, returning to the doctor and finally the result or process that the doctor performs, building such a model might help in identifying and improving the problem. The simulation model built in this research for the clinic is based on modelling the discrete events inside the dental clinic using the Arena software. This form is used to assess the quality of services provided by dental outpatient clinics in Iraq.

scholarly journals Discrete Event Simulation Models for CT Examination Queuing in West China Hospital

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Li Luo ◽  
Hangjiang Liu ◽  
Huchang Liao ◽  
Shijun Tang ◽  
Yingkang Shi ◽  
...  
Keyword(s):  
Waiting Time ◽  
Discrete Event ◽  
Simulation Models ◽  
West China Hospital ◽  
West China ◽  
Event Simulation ◽  
Ct Examination ◽  
Degree Of Satisfaction ◽  
Dynamic Priorities ◽  
Priority Model

In CT examination, the emergency patients (EPs) have highest priorities in the queuing system and thus the general patients (GPs) have to wait for a long time. This leads to a low degree of satisfaction of the whole patients. The aim of this study is to improve the patients’ satisfaction by designing new queuing strategies for CT examination. We divide the EPs into urgent type and emergency type and then design two queuing strategies: one is that the urgent patients (UPs) wedge into the GPs’ queue with fixed interval (fixed priority model) and the other is that the patients have dynamic priorities for queuing (dynamic priority model). Based on the data from Radiology Information Database (RID) of West China Hospital (WCH), we develop some discrete event simulation models for CT examination according to the designed strategies. We compare the performance of different strategies on the basis of the simulation results. The strategy that patients have dynamic priorities for queuing makes the waiting time of GPs decrease by 13 minutes and the degree of satisfaction increase by 40.6%. We design a more reasonable CT examination queuing strategy to decrease patients’ waiting time and increase their satisfaction degrees.

scholarly journals Simulation Project for Logistics of Brazilian Soybean Exportation

2020 ◽  
Vol 19 (4) ◽  
pp. 571-582
Author(s):  
H. S. Lopes ◽  
R. S. Lima ◽  
F. Leal
Keyword(s):  
Integrated Management ◽  
Discrete Event ◽  
International Market ◽  
Simulation Method ◽  
Strategic Analysis ◽  
Logistics System ◽  
Logistics Systems ◽  
Event Simulation ◽  
Global Logistics ◽  
Systems Simulation

Decision-making in complex logistics systems involves high risks and associated impacts. A way to forecast the impacts of these decisions is through the use of systems simulation projects, where the systematic impacts of the parameters can be visualized. This study presents a project based on Discrete-Event Simulation (DES) that analyses Brazilian soybean export logistics from producing regions to main international customers. The strategic analysis of a global logistics system using DES is a particularity of this study. At the conception stage, the conceptual modelling was made using IDEF-SIM (Integrated Definition Methods – Simulation) method, which allowed a better abstraction of reality and more accurate model implementation. The experimental analysis took place through the construction of 39 scenarios with specific characteristics that verified system behaviours through proposed changes. The analyses and decisions are based on costs. The simulations indicated the necessity for: a) an integrated management between the systems agents; b) the development of internal transportation infrastructure, especially railways and waterways, to increase competitiveness of Brazilian soybeans in the international market.

scholarly journals Discrete event simulation for problem solving in the context of an emergency department

2020 ◽  
Vol 11 (5) ◽  
pp. 1515
Author(s):  
Letícia Ali Figueiredo Ferreira ◽  
Igor Leão dos Santos ◽  
Ana Carla De Souza Gomes dos Santos ◽  
Augusto Da Cunha Reis
Keyword(s):  
Length Of Stay ◽  
Discrete Event Simulation ◽  
Waiting Times ◽  
Discrete Event ◽  
Saturation Point ◽  
Event Simulation ◽  
Emergency Care System ◽  
Patient Arrival ◽  
The Subject

Emergency departments (ED) are responsible for the immediate care and stabilization of patients in critical health conditions. Several factors have caused overcrowding in the emergency care system, but the variability of patient arrival and the triage process requires special attention. The criticality of these components and their configuration directly impact the waiting times, length of stay and quality of service, being the subject of several studies. So, this paper aims to understand by means of Discrete Event Simulation how ED works with the variation of patient arrival and how this variation highlights the bottlenecks of the triage process. Varying the patient arriving interval between 0.1 and 7.6 in a 4-hour scenario,  the system saturation point was established in β = 1.1. Besides, with the variation in the number of triages points, a considerable decrease in the total length of stay spent and the waiting times were noticed, mainly when there was two triage points operating simultaneously.

An Approach for 3D Visualization of Discrete Event Simulation

2004 ◽  
Author(s):  
Yongmin Zhong ◽  
Bijan Shirinzadeh
Keyword(s):  
Discrete Event Simulation ◽  
3D Visualization ◽  
Rapid Development ◽  
Discrete Event ◽  
Component Technology ◽  
3D Animation ◽  
New Approach ◽  
Discrete Simulation ◽  
Event Simulation ◽  
Simulation Results

This paper presents a new approach to create 3D visualization from discrete simulation results. This approach connects discrete event simulation directly to 3D animation with its novel methods of analyzing and converting discrete simulation results into animation events to trigger 3D animation. In addition, it constructs a 3D animation framework for the visualization of discrete simulation results. This framework supports the reuse of both the existing 3D animation objects and behavior components, and allows the rapid development of new 3D animation objects by users with no special knowledge in computer graphics but average computer skills. This approach has been implemented with the software component technology, and successfully applied in industry. Results from its practice in an electronics assembly factory are also provided in the paper to demonstrate the performance of this new approach.

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