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Context/Background: Queuing, a major problem faced by beneficiaries availing services in public health care system, may also have influence on the level of satisfaction among beneficiaries. Aims/Objectives: To describe the queuing dynamics in the OPD, to explore different factors influencing the level of satisfaction among the beneficiaries and their perception regarding possible ways to improve the queuing situation. Methodology: A hospital-based analytical study was conducted in an OPD of Bankura Sammilani Medi-cal College and Hospital, West Bengal, among 202 beneficiaries. Data were collected from subjects, se-lected from random queue in total 30 shifts (30 minutes each) on different working days, using prede-signed, pretested, questionnaire.Results: Queuing dynamics revealed utilization factor of 75%, while 25% probability of the system be-ing idle. Only 39.1% of the subjects were satisfied with the service in Paediatric OPD, in context of wait-ing in queue. MLR revealed subjects waiting in queue for a duration ≤ 1 hour and those with > 4 minutes consultation time were found to be more satisfied. Conclusions: Considering variable consultation time, arrival and service rates at the OPDs and re-sources, a well-planned system can minimize the waiting time and thus improve the level of satisfaction among the beneficiaries.
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Object To quantitatively analyze the rationality of medical support process and resource allocation on a certain model of ship.Methods Based on the queuing theory, the simulation model was built and analyzed by using simulation software. The medical system operational effectiveness was investigated through process parameters, such as the wounded waiting time, the resource utilization of major equipment.Results The simulation results showed that the design scheme of medical system was reasonable.Conclusion The quantitative process parameters of the system operating efficiency can be obtained at the design stage by using simulation analysis technology, which is of great practical value for the rationality of medical system design on ship.
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Objective:Setting up a queuing simulation model to study the allocation and usage of MRI in certain regional hospital in East China. To find out the causes and put forward suggestions. Methods: Statistical method was used for statistical analysis of MRI inspection time. Queuing simulation model was used to analyzing MRI allocation and used in 7 top hospitals. The waiting queue length, average queue length, sojourn time and waiting time was calculated.Results: The average MRI examination waiting time of the 7 top hospitals in the whole region is 0.403 h. The waiting time of 2 hospitals is more than 40 min while which is less than 20 min in 3 hospitals. The equipment utilization rate is higher in 2 hospitals (vacancy rate is 11.9%-16.4%) while which is lower in 2 other hospitals (vacancy rate is 52.3%-58.9%).Conclusion: The problem of health allocations of resources could be solved by establishing regional MRI examination center radiation regional around.
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Objective To design an emergency medical rescue-simulation system,and to provide reference for optimizing rescue strategy and medical resource allocation by simulating different rescue conditions. Methods Firstly，Stateflow was used to build the main simulation unit，which included arrival of the wounded, classification of the wounded (emergent [type A] and non-emergent [type B])，and medical treatment modules， and then the related event and response function were appended. Secondly，the system parameter input unit and character display unit were set up in Simulmk. Finally two different medical treatment strategies (strategy 1:type B wounded waiting for treatment in the rescue module with least waiting patients strategy 2 :type B wounded waiting for treatment in the rescue module with least workload) were simulated and the corresponding rescue strategies were analyzed. Results The system could simulate the medical rescue process of different strategies. The type A wounded could be rescued in a timely manner in both strategies. Type B wounded had a shorter waiting time in strategy 1，but the rescuers had a heavy work load; while they had a longer waiting time in strategy 2，and the rescuers had a lighter work load. Conclusion We have successfully designed a simulation system for emergency medical rescue and its feasibility and effectiveness are verified. Different rescue strategies have their respective advantages and disadvantages in the waiting time and work load, and the two strategies can be combined in practice in order to achieve a dynamic balance between the waiting time of the wounded and the work load of the rescuers.
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Objective Queuing theory is the mathematical study of how waiting lines or queues are formed and dissipated o -ver time, which aims to work out the optimal design and optimal control of queuing systems based on the research of probability and regularity of various queuing systems .The aim of paper was to find out the maximum acceptable waiting time for outpatients in stomatol -ogy department and explore the rational allocation of dentists based on queuing theory model . Methods Questionnaires , worktime measurement and queuing theory model were applied to calculate indicators of queuing system in outpatient services of Stomatology De -partment , getting the maximum waiting time accpetable for patients and the reasonable number of dentists . Results The maximum acceptable waiting time for outpatients was 34.02 ±7.07 minutes, and it was reasonable to allocate 25 doctors in the morning and 16 doctors in the afternoon . Conclusion Applying queuing theory helps to optimize dentist number in outpatient services of Stomatology Department and provide scientific reference to improve medical efficiency .
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Objective Reengineering of existing facility capacity of the hospital operating department to tap the potential of the capacity, and development of scientific and quantitative basis for hospital decision-making. Methods Existing data of the hospital's operating department was called into play for a fit test of probability distribution, followed by an analysis of such capacity in the queuing theory, ending with a redesign based on the present service demand.Results The operating department in question was found with a low utilization, and with surplus capacity. When the utilization lies between 70% and 80% (7 operating rooms), the queuing system indexes are optimal.Conclusion It is rational and feasible to analyze and optimize operating department facility capacity in the queuing theory. This is conductive to increasing operating room utilization and enhancing hospital competitiveness.
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Objective: To optimize the allocation scheme of military medical equipments based on the characteristics of modern war and the progression of the military medical equipment of People's Liberation Army (PLA). Methods: Aiming to optimize the allocation of military medical equipment, we designed the integrated framework of the allocation system and analyzed the need of optimized allocation. Using the linear programming and queuing theory, we established the optimized allocation models for both medical treatment equipments and evacuation equipments. Results: Based on the health service characteristics of military medical equipments, the optimized allocation models for medical treatment equipments and evacuation equipments were successfully established. The application of the established models was studied in the medical service station of the division level. Conclusion: The optimized allocation scheme of military medical equipment has been proposed in the present study, which provides evidence for decision-making on the future development of military medical equipments of PLA.
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Objective To Describe the queuing mathematical model and analyze the reasonable hospital application pattern of electronics voluntary system.Methods By scientifically arranging medical care personnel and equipment,patients queuing process was optimized.Results We successfully applied the outpatient real-time computer information management system of electronics voluntary based on this mathematical model.Conclusion It is a possible way to optimize the queuing process and improve the efficiency in electronic triage system based on queuing theory.
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Objective To analyze the efficiency of current outpatient billing service quantitatively.Methods The author applied mathematical model and arithmetic of the queuing theory to estimate the selective sample of gynecologic outpatient charge.The average arrival rate of patient and average charge were counted.By using the queuing theory and relevant assisted program,we got the corresponding evaluation index.Results It is reasonable for the charge of current gynecologic outpatient.Conclusion It is feasible to apply queuing theory to quantitative analysis on outpatient charge service in the hospital.
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Objective To explore optimized procedures and science decision-making methods for the triage in sanitary train and improve efficiency. Methods The work condition of triage was evaluated with queuing theory and mathematical models. Results The work of triage needs to be further optimized. The M/M/n model of queuing theory can improve efficiency, and then waiting-time that from triage site to specifically sickbed can be shorten consumedly. Conclusion The application and assistance decision on queuing theory in the triage can optimize organization plan and enhance work efficiency.
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Objective: To investigate the actualities of service in Outpatient Pharmacy and Emergency Pharmacy. Methods: With queuing theory of operational research and data statistics, the specialities and varities of service in both Pharmacies were investigated before and after the application of computer network. Results: (1)The distribution of the patients number arriving the Pharmacies was unequal.(2) The time of service was extended after using network.(3)The average individual time of service in Emergency Pharmacy was 74 s, and 48 s in Outpatient Pharmacy. The reasons for the average individual time of service in Emergency Pharmacy more than that in Outpatient Pharmacy was related to the formulation of drugs in 2 pharmacies and the number of drugs on prescriptions. (4)The number of windows for service should be increased in Emergency Pharmacy after using network. Conclusion: Operational research and data statistics will provide the data assisting the manager in making decisions. [
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Objective The paper analyzes the operating patterns of the outpatient process and identifies the links needing reengineering so as to provide scientific basis for the optimal allocation of outpatient resources and process reengineering and prove the rationality and feasibility of using the queuing theory. Methods Using the methods of the queuing theory, the service time and the patients' arrival time at such service links as registration, billing and accounting, internal medicine, and gynecology in the outpatient department of a certain hospital were measured and the operational indexes at various links such as service intensity, average queuing length, average queuing time, average stay, probability of the service desks being idle, and the probability of the patients having to wait were calculated so as to estimate the rational number of service desks and the optimal value of the sum of the cost of waiting and the cost of service. Results Registration, billing and accounting , service intensity in internal medicine, personnel allocation, and queuing time were basically rational in the outpatient department of the hospital surveyed. One more physician should be added to the gynecology department so as to improve efficiency and reduce patients' waiting time and queuing length. There was currently a shortage of medical staff in the hospital. The cost of hospital input was moderate while the cost of waiting was on the high side. Conclusion It is rational and feasible to evaluate the efficiency of the outpatient process with the methods of the queuing theory. The method deserves to be spread.