Resource planning in the emergency departments: A simulation-based metamodeling approach

Zeinali, Farzad; Mahootchi, Masoud; Sepehri, Mohammad Mehdi

doi:10.1016/j.simpat.2015.02.002

Cited by 88 publications

(71 citation statements)

References 35 publications

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“…The reduction in wait time (from 282 to 142 min) in the model of this research is satisfactory compared to the study conducted by Zeinali et al [4] who managed to implement a 48% reduction in the total wait times of patients (reducing the time from 44 to 23 min), subject to both budget and capacity, in an emergency department in Iran. Moreover, this model can provide a 51% improvement in the level of existing costs, while the study of Zeinali et al [4] managed to provide a 49% improvement. Also, compared to another study performed by Dengiz et al [7] a better regression meta-model was offered due to their sufficient consideration of statistical analyses.…”

Section: ( )supporting

confidence: 47%

“…Recently, the pressure on the emergency department (ED) as the main entrance of hospitals has been raised, due to the increasing demands related to different factors (such as population growth), which has led to patient dissatisfaction [1][2][3][4]. Due to patient dissatisfaction with hospital services, high costs and growing demands for healthcare, field managers attempt to decrease costs and increase efficiency by allocating optimal resources.…”

mentioning

confidence: 99%

“…This department receives within 24 hours an average of 52,000 patients a year, which is about 145 patients daily. About 40% of patients of this ED have heart problems and should receive their services as soon as possible [4].…”

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confidence: 99%

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A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

Bahari

Asadi

2020

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Background: Effective Decision Making on the resources of the ED plays a significant role in the performance of the department. Since wrong decisions can have irreparable consequences on the quality of services, the decision-makers should analyze and allocate the resources effectively. Methods: The present study aimed to investigate the effective resources in the emergency department and provide an optimal combination of these resources based on the meta-modeling optimization approach to reduce the wait time for patients in the ED. Results:The results demonstrated that the number of CHWs and beds played a significant role in the total average wait time for patients. Although the effect of other variables was not statistically significant, they were deliberately used in this study to determine the optimal combination of such variables by solving the problem. Conclusion: The findings of the present simulation-model approach provide hospital managers with valuable data in order to control and re-design the admission to discharge procedure in the emergency in order to enhance efficiency. By considering the budget, the new configuration of 2 Community Health Worker, 1 Receptionist, 1 nurses, 3 Cardiologist and 10 beds, with 142 minutes of a patient's wait time shows 49.6% wait time improvement and a reduction of 51% in the cost of resource usage.

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Section: ( )supporting

confidence: 47%

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confidence: 99%

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A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

Bahari

Asadi

2020

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“…Merging simulation with other OR methods has been a popular alternative for addressing the waiting time problem. For example, Zeinali et al [184] combined metamodel techniques and simulation for minimizing the total average waiting time of an Iranian ED considering capacity and budget constraints. After intervention, the total waiting time of ED patients was reduced by approximately 48%.…”

Section: Papers Focusing On Reducing the Extended Losmentioning

confidence: 99%

“…In particular, the literature reports several studies mixing OR methods and simulation to cope with the patient flow problem. Zeinali et al [184] used a simulation-based metamodeling approach to deal with patient's congestion in an Iranian ED. The experimental outcomes confirmed that patient flow can be substantially improved with this approach even under budget and capacity constraints.…”

Section: Papers Focusing On Diminishing the Patient Flow Time In Edmentioning

confidence: 99%

Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review

Ortíz‐Barrios

Alfaro-Saiz

2020

IJERPH

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The most commonly used techniques for addressing each Emergency Department (ED) problem (overcrowding, prolonged waiting time, extended length of stay, excessive patient flow time, and high left-without-being-seen (LWBS) rates) were specified to provide healthcare managers and researchers with a useful framework for effectively solving these operational deficiencies. Finally, we identified the existing research tendencies and highlighted opportunities for future work. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to undertake a review including scholarly articles published between April 1993 and October 2019. The selected papers were categorized considering the leading ED problems and publication year. Two hundred and three (203) papers distributed in 120 journals were found to meet the inclusion criteria. Furthermore, computer simulation and lean manufacturing were concluded to be the most prominent approaches for addressing the leading operational problems in EDs. In future interventions, ED administrators and researchers are widely advised to combine Operations Research (OR) methods, quality-based techniques, and data-driven approaches for upgrading the performance of EDs. On a different tack, more interventions are required for tackling overcrowding and high left-without-being-seen rates.

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Simulation‐based optimisation approach to improve emergency department resource planning: A case study of Tunisian hospital

Daldoul

Nouaouri²,

Bouchriha

et al. 2022

Health Planning & Management

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Background: The emergency department (ED) is a gateway to hospitals and is in the centre of hospital management efforts. It is often saturated by a continuous flow of patients, which causes excessive patient waiting time.Aims: This study integrates simulations with optimisation to design planning decision support for an ED. We considered all the processes of the ED, from triage to bed assignment. This study's main objective was to determine the optimal number of doctors, nurses, and beds required to schedule patients with different acuity levels to minimise both the total patient waiting time and the patient average length of stay and balance the resource utilisation rates. The problem is also characterised by multiple uncertainties, such as the patient arrival rate and service times in each stage of the process.Method: We first propose a stochastic mixed-integer programing model that is solved using the sample average approximation approach. The resulting resource sizing is then evaluated using a discrete-event simulation model by comparing different patient scheduling rules.Results: Numerical experiments highlight the performance of the proposed approach using data from a Tunisian ED hospital.

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Resource planning in the emergency departments: A simulation-based metamodeling approach

Cited by 88 publications

References 35 publications

A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review

Simulation‐based optimisation approach to improve emergency department resource planning: A case study of Tunisian hospital

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