Application Of Queuing Theory Model And Simulation To Patient Flow At The Outpatient Department (original) (raw)
Related papers
2020
This chapter consists of research background, problem formulation, research objectives, research scopes and assumption, and outline of the report. 1.1 Background Queuing theory is used extensively in engineering and industry for analysis and modeling of processes involving queuing. In the real system, it allows the manager to calculate the optimal supply of fixed resources necessary to meet variable demand. Nowadays, health policy researcher has also attempted to apply this technique more widely throughout the health care system. (Gross, 1998) Unfortunately, most of the proposed queuing model has no real-world validation and perhaps for this reason, has not been embraced by physicians and hospital administrators. Therefore, to explore the utility and the implications of queuing theory as it relates to the supply and demand for critical care services, it is needed to develop and analyze a queuing model in a busy hospital (Robin, 2015). Health care providers face increasing pressure to deliver high quality and efficient services while fighting rising costs. One of the main measure for the quality of service is the waiting time of patients. The long waiting times would lead to patient dissatisfaction, resulting choose another health care provider who can provide better service quality. Therefore, time is a valuable asset to patients in seeking service at any health center, either public or private providers, and even more valuable for patients who are in critical condition (Najmuddin, 2010). Hospital services either private or government-owned focuses has a mission of providing excellent and quality health services as well as sustainable and affordable in order to improve the health of society. The most practical approach is the use of queuing theory. A major element in the queue theory includes people brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by eSkripsi Universitas Andalas day is the same at 07.00 AM-12.00 AM. 1.5 Outline of Report CHAPTER I: INTRODUCTION This chapter consists of research background, problem formulation, research objectives, research scopes and assumption, and outline of the report. 9 CHAPTER II: LITERATURE REVIEW This chapter defines the literatures support the research to results of analysis and recommendation to solve the problem. The literatures are used in this research consist of waiting times, services, queue theory, simulation and overview of RSUD dr. Rasidin Padang. CHAPTER III: RESEARCH METHODOLOGY This chapter explains systematically steps in this research, from the preliminary study, literature study, problem identification and formulation, method selection, designing simulation models, develop the improvement, results and discussion, conclusions and suggestions. CHAPTER IV: DEVELOPMENT OF SIMULATION MODEL FOR QUEUING SYSTEM OF OUTPATIENT SERVICE IN RSUD dr. RASIDIN PADANG This chapter presents the development of simulation model for queuing system of outpatient serve in RSUD dr Rasidin Padang. It consists of system description, data collection, data processing, development of simulation model, verification, validation, replication of simulation model, simulation report analysis and development of scenarios. CHAPTER V: DISCUSSIONS This chapter contains the discussion of the result consist of simulation model and scenarios of simulation model.
Improving Performance of Outpatient Queuing System: A Simulation Based Case Study
IOP Conference Series: Materials Science and Engineering, 2020
Nowadays, hospitals are facing overcrowding of patients in outpatient treatment. It caused many problems because the patient takes a long time to wait. The long waiting times would lead to patient dissatisfaction. This study aims to improve the performance of the outpatient queuing system. The simulation technique is applied to analyze the existing system. First, the system description is constructed to determine the outpatient process flow. Next, the required data is collected, and the probability distribution is then fitted. The simulation model is developed using ARENA software. The model is then verified using a run check model and validated using paired T-Test. The simulation reports are analyzed, and it obtained the problems of long waiting times of internal medicine patients and the high utilization of internal medicine Doctors. Scenarios are then suggested to improve system performance. Scenario-3 of addition one internal medicine Doctor and develop a booking system is selec...
USE OF QUEUING MODELS IN HEALTH-CARE FACILITIES -CASE STUDY OF KISII GENERAL LEVEL FIVE
This work is dedicated to our dear parents for their financial support and encouragement throughout our study. iv ACKNOWLEDGEMENT We give our utmost thanks to our almighty God for He has provided us with the means to this end. We would like to sincerely thank Mr. Tamaro Abuya our supervisor for his relentless assistance in perusing through our work and suggesting some of the very critical changes which have seen us get through with the study. We are grateful to our colleagues and for their positive criticism of our work. We believe their criticisms have added some value in this work. Last but not least, we acknowledge with thanks the role-played by our respondents in making this study a reality, and anybody else who directly or indirectly supported during our research study period.
Application of Queuing Theory in a University Clinic
International Journal of Science for Global Sustainability
Institutions such as banks, airlines, hospitals and telecommunication industries employ queuing theory to help in assisting the capacity levels needed to experience demand in a more optimized way for service improvement. In this article, we studied and employed the queuing theory activities of the Federal University Gusau Health Services Clinic. The distributions of patients’ arrival and service times were identified. The system was treated as a single, time-independent arrival with multiple service points. Based on the data obtained on the arrival and service processes, appropriate distributions were fitted and tested using the Chi-squared goodness of fit-test.
Journal of Advances in Mathematics and Computer Science
The queuing theory is the mathematical approach to the analysis of waiting lines in any setting where arrivals rate of the subject is faster than the system can handle. It is applicable to the health care setting where the systems have excess capacity to accommodate random variation. Therefore, the purpose of this study was to determine the waiting, arrival and service times of patients at AAUA Health- setting and to model a suitable queuing system by using simulation technique to validate the model. This study was conducted at AAUA Health- Centre Akungba Akoko. It employed analytical and simulation methods to develop a suitable model. The collection of waiting time for this study was based on the arrival rate and service rate of patients at the Outpatient Centre. The data was calculated and analyzed using Microsoft Excel. Based on the analyzed data, the queuing system of the patient current situation was modelled and simulated using the PYTHON software. The result obtained from the...
OUTPATIENT QUEUING MODEL DEVELOPMENT FOR HOSPITAL APPOINTMENT SYSTEM
In many hospitals, Patients wait for long time in the healthcare facility before they are attended to by the health personnel. This trend is on the increase and it is a potential threat to healthcare services. In Nigeria, specialist, teaching and general hospitals with large number of patients have cases where patients may not be attended to on time while others may end up going home without receiving medical attention. An efficient queuing model for proper appointment system is proposed as the solution to the long waiting times in these hospitals in this paper. The appointment queuing system provides better utilization of resources and reduces patients waiting times in the general outpatient department before consultation with the Doctor. Arrival rate and pattern, availability of medical services and preferences, employees experience and availability of information technology are factors that affect the performance of an appointment system. This research work provides an efficient outpatient appointment queuing model for proper appointment scheduling thus, reduces patients waiting times, doctors' idle time and overtime as well as improving the outpatient's satisfaction.
AN EMPIRICAL STUDY OF QUEUING ANALYSIS OF PUBLIC AND PRIVATE HOSPITALS OF SOUTHERN RAJASTHAN
A hospital service is one of the most highly congested fields of hospitality services and faces a great deal of pressure, compared with any other hospitality services. Delays in the hospital system may result in difficulties of scheduling services at any units and decrease in patient satisfaction. So waiting times in health services is a wide spread problem which affects the quality of services as well. With the help of queuing analysis/waiting line model of every hospital it can be examined for every scenario that how much time a patient spent in queue and system and what is average time of waiting in queue and system in various time frames captured through the questionnaire. This analysis supports management to identify that in which time slot more effective management is required to reduce the service delays. In this research paper for the purpose of data collection 2 public and 2 private hospitals of southern Rajasthan has been used.
Queues are characterized structures fashioned to maintain order and create a hold on time, money and human contribution towards development and efficient performance of any system. Queues are experienced in our everyday activities. Queue causes inconvenience to individuals (patients) and economic costs to firms and organizations. Patients wait for minutes, hours, days or months to receive medical service-waiting before, during or after being served. Queuing theory is a mathematical approach to the study of waiting in lines/queues. This research presents the results of a study that evaluates the effectiveness of a queuing model in identifying the major bottleneck in healthcare operations. It uses chi-square and Erlang's queuing to analyse data collected from the University of Benin Health Center and the Faith Mediplex center over one month period. Results showed that queue characteristics existing at the healthcare centers during the situation analysis was a single server multiple queue model. However, after the study was done involving staff at the understudy healthcare centers, it was discovered that queuing is mainly found in record unit and doctor consultation waiting lobby. We finally came to a conclusion and made the some recommendations on how best healthcare centers can maximize the benefits of queuing model for good and effective operations.
IAEME PUBLICATION, 2019
Service time and waiting time in hospitals are of growing importance in quality healthcare delivery. Long waiting times for health care is a critical issue in many countries. Many of the countries have now introduced benchmarks for that. The objective of this research paper is to study the Out Patient Department (OPD) of a hospital using queuing network analysis. The study aims to analyze the patient flow system by measuring the length of stay, service and waiting time distribution of patients and waiting time between two consecutive services availed / treatment undergone / department visited were calculated in an Out Patient Department (OPD) of a multispecialty hospital. There are major differences in how waiting times are measured: waiting period for kind of care/ services the patient is waiting for; the parameters used; and where in the patient journey the measurement begins. We investigated the waiting time for patients before and during availing any of the services of multispecialty, rural based hospital in Gujarat, India. Various descriptive statistics analyses of routine data for 438 patients determined the association between selected patient characteristics, service time and waiting time. The median time spent by a patient (between patients enters in the hospital, being seen by a physician / availing various services and leaves the hospital is 44 minutes (within a range of 7.59-382 minutes). Day of arrival, time of arrival and service/ treatment category were significantly associated with waiting time. Variability in waiting times could be addressed by more standardized hospital operations, but may also be influenced by other clinical or non-clinical factors that require further investigation.
Application of Queuing model on Hospital OPD
Waiting in line is a very hectic situation for everybody. At present It is general scenario that waiting in queue for getting service is a part of life I everybody life. Wherever we go like shopping mall, railway reservation counter, petrol pump, hospital we have seen that the people are standing in a queue to get services. Queuing is a big challenge for health care organization all over the world. This survey probes the application of queuing theory and modeling to the queuing problem at the outpatient department at arogyam hospital Rajkot. In this paper we study what is the required number of servers (doctors) so patients have not to wait in queue and get medical treatment immediately. The analysis of the study with the help of queuing theory shows that they need 5 servers instead of 3 at present.