Discrete event simulation modelling of patient service management with Arena

Guseva, Elena; Varfolomeyeva, Tatyana A.; Efimova, Irina; Movchan, Irina

doi:10.1088/1742-6596/1015/3/032095

Cited by 12 publications

(7 citation statements)

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“…For the investigation, studies based on process simulation models were considered, mainly those related to health service systems, and in research on the analysis or implementation of ISO 15189 in clinical laboratories. Guseva et al (2018) described the methodology to develop a simulation model using the Arena software for patient service management in a clinic in Russia. With the development of process simulation, they were able to evaluate the workload of the medical and technical team to determine the number of personnel required to guarantee timely patient care and improve the efficiency of clinical service operations.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of Clinical Laboratory Process Improvement based on ISO 15189 Standard

Bazán Rodríguez,

Tapia Alfaro,

Taquía Gutiérrez

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The clinical analysis laboratory plays a crucial role in the diagnosis and prevention of diseases, consequently, the results of the examinations must be issued under optimal conditions of quality and precision that allow safe medical decisions to be supported. Accreditations such as ISO 15189 are instruments that allow laboratories to ensure, through their criteria and characteristics, results that meet quality standards, ensure traceability, and have high reliability, furthermore, the analysis and application of this Standard contribute to the continuous improvement and optimization of resources in clinical laboratories, which generates greater productivity in the processes. In the present investigation, a simulation model of the laboratory service process in a medical center was designed to which proposed improvements were applied considering the evaluated criteria of the ISO 15189 Standard. The simulation model was developed in the Arena software and executed the initial system model and the one proposed for comparison, where the processing time of patient care capacity in the laboratory was increased by 33%, achieving an increase from 12 to 16 clinical analyses performed per day. Likewise, the improvement in laboratory efficiency is directly related to the 32.3% increase in the medical center's monthly income from the tests performed in its laboratory. This demonstrates that implementing the ISO 15189 Standard can generate positive impacts that only translate into the quality of the service but also the profitability of the laboratories.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation of Clinical Laboratory Process Improvement based on ISO 15189 Standard

Bazán Rodríguez,

Tapia Alfaro,

Taquía Gutiérrez

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…Nowadays, different software is available for simulation, among these, the following can be mentioned: SIMIO, Rockwell Arena, PROMODEL, etc. In this case we used the Arena platform due to its use in the improvement of manufacturing and logistics systems [6,7,8]. Figure 3 presents the baseline simulation model which was built with the latest version of Arena [9].…”

Section: Simulation Modelmentioning

confidence: 99%

Improvement of Public Cab Transportation System through Computer Simulation

Caballero‐Morales

Sánchez‐Partida

Barreto-Maceda

2022

AJEBA

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Aims: Public transportation is a dynamic problem which depends of different variables such as service schedules, route times, demand rates, and traffic density. Due to these features, mathematical modelling for improvement purposes is a difficult and complex task. Thus, computer simulation is proposed as a more comprehensive and efficient approach. Study Design: A transportation case study is considered with the main feature variables. Data was obtained from a cab system within a town in Mexico. The reported problems consisted of economic losses due to low service level and cab utilization, Methodology: The transportation problem consists of a cab system with four main routes which are served twice a day. Data associated to route times, demand rates, cab capacities, fleet size, service restrictions and fare costs was collected to develop a simulation model and analyze the current state of the real system. Once validated, an improvement approach was performed on the simulation model. Results: The validated simulation model corroborated the problems reported by the case study. The proposals to improve performance, which consisted of reduction of cab fleet and route length led to reduce operative costs without affecting service level. Conclusion: Simulation is an important tool to improve complex logistic systems which cannot be addressed by standard mathematical modelling.

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“…The ABS technique is used to simulate the behavior of agents because ABS is the only available simulation model that can simulate agents' behavior, as discussed in [44,45]. Meanwhile, DES is a common technique that can simulate the sequential process of components [46]. Thus, DES is employed in the proposed SIM-PFED to simulate the process of the proposed operational patient flow.…”

Section: ) Proposed Operational Patient Flowmentioning

confidence: 99%

“…The combination of the two techniques is executed in Anylogic simulation software, which have capability combination of simulation techniques (DES and ABS) [43,47,48]. Compared with other simulation platforms, such as Netlog, Anylogic provides a user-friendly integrateddevelopment environment with an efficient simulation engine that allows modelers to create and simulate high-validity models of complex systems in a straightforward manner [44,46,49]. Anylogic modeling is also the most accurate procedure to determine the probability of a difficult behavior; rather than relying on total randomization, it considers historical data and current behavior types to produce a single outcome for understanding the process thoroughly [15,50].…”

Section: ) Proposed Operational Patient Flowmentioning

confidence: 99%

SIM-PFED: A Simulation-Based Decision Making Model of Patient Flow for Improving Patient Throughput Time in Emergency Department

2021

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Healthcare sectors face multiple threats, and the hospital emergency department (ED) is one of the most crucial hospital areas. ED plays a key role in promoting hospitals' goals of enhancing service efficiency. ED is a complex system due to the stochastic behavior of patient arrivals, the unpredictability of the care required by patients, and the department's complex nature. Simulations are effective tools for analyzing and optimizing complex ED operations. Although existing ED simulation models have substantially improved ED performance in terms of ensuring patient satisfaction and effective treatment services, many deficiencies continue to exist in addressing the key challenge in ED, namely, long patient throughput time. The patient throughput time issue is affected by causative factors, such as waiting time, length of stay, and decision-making. This research aims to develop a new simulation model of patient flow for ED (SIM-PFED) to address the reported key challenge of the patient throughput time. SIM-PFED introduces a new process for patient flow in ED on the basis of the newly proposed operational patient flow by combining discrete event simulation and agent-based simulation and applying a multi-attribute decisionmaking method, namely, the technique for order preference by similarity to the ideal solution. Experiments were performed on three actual hospital ED datasets to assess the effectiveness of SIM-PFED. Experimental results revealed the superiority of SIM-PFED over other alternative models in reducing patient throughput time in ED by consuming less patient waiting time and having a shorter length of stay. The findings also demonstrated the effectiveness of SIM-PFED in helping ED decision-makers select the best scenarios to be implemented in ED for ensuring minimal throughput time while being cost effective.

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Discrete event simulation modelling of patient service management with Arena

Cited by 12 publications

References 0 publications

Simulation of Clinical Laboratory Process Improvement based on ISO 15189 Standard

Simulation of Clinical Laboratory Process Improvement based on ISO 15189 Standard

Improvement of Public Cab Transportation System through Computer Simulation

SIM-PFED: A Simulation-Based Decision Making Model of Patient Flow for Improving Patient Throughput Time in Emergency Department

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