A simulation optimization approach for resource allocation in an emergency department

Keshtkar, Leila; Salimifard, Khodakaram; Faghih, Nezameddin

doi:10.5339/connect.2015.8

Cited by 13 publications

(12 citation statements)

References 22 publications

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“…(e.g. [1,31,43,53,73,101,103,133]). For radiological equipment, a distinction can be made based on equipment type (e.g.…”

Section: Equipment Utilisationmentioning

confidence: 99%

“…A simulation-optimisation approach requires the formulation of an objective and constraints. Ahmed and Alkhamis [4], Centeno et al [30], Chen and Wang [32] and Guo et al [59] include costs in the objective function, while Cabrera et al [23], Ghanes et al [52], Keshtkar et al [73] and Zeinali et al [147] impose a limit on the available budget in the constraints in order to take costs into account when optimising ED performance. Three papers examine revenue instead of costs [16,86,107].…”

Section: Budget-related Kpismentioning

confidence: 99%

See 1 more Smart Citation

Simulation of emergency department operations: A comprehensive review of KPIs and operational improvements

Vanbrabant

Braekers

Ramaekers

et al. 2019

Computers & Industrial Engineering

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“…(e.g. [1,31,43,53,73,101,103,133]). For radiological equipment, a distinction can be made based on equipment type (e.g.…”

Section: Equipment Utilisationmentioning

confidence: 99%

Section: Budget-related Kpismentioning

confidence: 99%

Simulation of emergency department operations: A comprehensive review of KPIs and operational improvements

Vanbrabant

Braekers

Ramaekers

et al. 2019

Computers & Industrial Engineering

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“…Therefore, this study focuses in using the number of resources as the model parameter. Moreover, using one model parameter (number of resources) has been proved that it can improve the system effectively [ 56 – 58 ].…”

Section: Methodsmentioning

confidence: 99%

“…The method is widely adopted to improve hospital management [ 51 , 52 ]. The common objective functions aim to minimize overflow rate [ 53 ], minimize waiting time [ 54 – 56 ], and minimize the length of stay [ 57 , 58 ].…”

Section: Related Workmentioning

confidence: 99%

Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand

Tanantong

Pannakkong

Chemkomnerd

2022

BMC Med Inform Decis Mak

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Background The overcrowded patients, which cause the long waiting time in public hospitals, become significant problems that affect patient satisfaction toward the hospital. Particularly, the bottleneck usually happens at front-end departments (e.g., the triage and medical record department) as every patient is firstly required to visit these departments. The problem is mainly caused by ineffective resource management. In order to support decision making in the resource management at front-end departments, this paper proposes a framework using simulation and multi-objective optimization techniques considering both operating cost and patient satisfaction. Methods To develop the framework, first, the timestamp of patient arrival time at each station was collected at the triage and medical record department of Thammasat University Hospital in Thailand. A patient satisfaction assessment method was used to convert the time spend into a satisfaction score. Then, the simulation model was built from the current situation of the hospital and was applied scenario analyses for the model improvement. The models were verified and validated. The weighted max–min for fuzzy multi-objective optimization was done by minimizing the operating cost and maximizing the patient satisfaction score. The operating costs and patient satisfaction scores from various scenarios were statistically compared. Finally, a decision-making guideline was proposed to support suitable resource management at the front-end departments of the hospital. Result The three scenarios of the simulation model were built (i.e., a real situation, a one-stop service, and partially shared resources) and ensured to be verified and valid. The optimized results were compared and grouped into three situations which are (1) remain the same satisfaction score but decrease the cost (cost decreased by 2.8%) (2) remain the same satisfaction score but increase the cost (cost increased up to 80%) and (3) decrease the satisfaction score and decrease the cost (satisfaction decreased up to 82% and cost decreased up to 59%). According to the guideline, the situations 1 and 3 were recommended to use in the improvement and the situation 2 was rejected. Conclusion This research demonstrates the resource management framework for the front-end department of the hospital. The experimental results imply that the framework can be used to support the decision making in resource management and used to reduce the risk of applying a non-improvement model in a real situation.

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“…Deficiency of resources in EDs is one of the main reason behind the long waiting time and the higher rate of the patient left without being seen (LWBS). In the research of [16], researchers used a simulation optimization approach to find the appropriated configuration in 'ED' resources, including nurses, general practitioners, and beds. After running many simulation instances under different budget constraints, they reached an improvement of 8.1% in LOS with the current budget, and 9.5% with a maximum of 35.5 budget units.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Optimizing Patients’ Flows Inside Emergency Department based on the Simulation Model: A Case Study in an Algerian Hospital

Derni¹,

Boufera²,

Khelfi³

2019

IJIEEB

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In Algeria, as in many other countries, the Emergency Department (ED) of the hospital, is the main entrance to the hospital, which provides Healthcare to patients threatened with death, and which faces several issues, emphasized by resource limitation. Our work presents a description of patient flow inside the 'ED' of Chalabi Abdelkader Hospital, Mascara, Algeria. This study aims to prevent the care complication scheme by adopting a workflow approach in order to design the patient flow in the chosen 'ED'. The objective is to enhance patients' flows, to improve the quality of the patient supervision, by targeting the minimization of the total and waiting times. A simulation model of the study system will be built based on the acquired data, and it will be validated by domain experts for a maximal rapprochement to the reality. Then, many simulations instances will be realized using Rockwell ARENA simulator to evaluate the impact of the proposed solutions. As a result of this study, we provided to 'ED' supervisors many improvement solutions and recommendations to the issues identified in the modeling phase.

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A simulation optimization approach for resource allocation in an emergency department

Cited by 13 publications

References 22 publications

Simulation of emergency department operations: A comprehensive review of KPIs and operational improvements

Simulation of emergency department operations: A comprehensive review of KPIs and operational improvements

Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand

Modeling and Optimizing Patients’ Flows Inside Emergency Department based on the Simulation Model: A Case Study in an Algerian Hospital

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