A Discrete-Event Simulation Model of Hospital Patient Flow Following Major Earthquakes

Basaglia, Alberto; Spacone, Enrico; Lindt, John W. van de; Kirsch, Thomas D.

doi:10.1016/j.ijdrr.2022.102825

Cited by 21 publications

(8 citation statements)

References 88 publications

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“…The patients might be in the queue when the hospitals reach their capacity. Simulation models have been built using various approaches, such as system dynamics approaches [188] , agent-based models [189] , and discrete-event simulation models [190] . However, their applications have been limited to small-scale hospitals and departments.…”

Section: Healthcare Systemsmentioning

confidence: 99%

The role of social institutions in community resilience following extreme natural hazard events

Hassan¹,

Mahmoud²,

Ellingwood³

2023

Dis Prev Res

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Social institutions such as hospitals and schools are among the main pillars of community stability. A drop in the functionality of hospitals and schools is likely to have short-term and long-term effects on a community, including a reduction in medical interventions, an increase in unschooled children, and population outmigration in search of essential social services. However, comprehensive community resilience models that consider the role played by social institutions in community stability following natural disasters are scarce at the present time. This paper provides a literature review and critical appraisal of previous studies on the resilience of hospital and school systems and their impact on community well-being. The review encompasses existing resilience models for single hospitals and schools, their role when connected with other hospitals and schools in a network, their reliance on each other as interdependent systems, and their role in community resilience and stability. Different mitigation strategies and policies to enhance hospital and school systems’ resilience after extreme natural hazards are also summarized. The paper concludes with a series of recommendations to improve current models for social institutions, enhance the connection between existing hospital and school resilience models and community resilience frameworks, and develop social stability indices that policymakers can use in preparing and mitigating future extreme events.

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Section: Healthcare Systemsmentioning

confidence: 99%

The role of social institutions in community resilience following extreme natural hazard events

Hassan¹,

Mahmoud²,

Ellingwood³

2023

Dis Prev Res

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“…Furthermore, real-world problems are dynamic (Bartenschlager et al, 2022;Fasshauer et al, 2021;Granja et al, 2014) and often entail MOs (Doudareva and Carter, 2022;Parashar et al, 2023), which escalates the complexity of sectorization models. In pursuit of a model applicable to real-world scenarios, we employ simulation techniques (Basaglia and Spacone, 2022;Fava et al, 2022;Matthews et al, 2023;Teymourifar, 2019).…”

Section: Introductionmentioning

confidence: 99%

Balanced Assignment of Patients to Healthcare Centers Using Dispatching Rules

Teymourifar,

Trindade

2024

Preprint

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Background: In the realm of public health management, ensuring a balanced assignment of patients to healthcare centers is a critical concern. This study introduces a novel approach for this purpose, utilizing dispatching rules. Highlighting the need for an easily applicable approach to regulating patient flow efficiently, the study shows the benefit of utilizing dispatching rules in healthcare management. Methods: Innovatively, this research departs from traditional approaches by introducing a multi-objective model grounded in the concept of sectorization. This model, unique in the public health literature, leverages dispatching rules to simplify complex, dynamic patient assignment scenarios. The model is simulated using Rockwell Arena software, incorporating various temporal factors. The optimization of these dispatching rules is performed through OptQuest software. Results: The study's findings demonstrate that the optimized dispatching rule significantly enhances the model's efficacy in balancing patient assignments across healthcare centers. This improvement is pivotal in addressing the uneven distribution of healthcare resources. Conclusions: This research makes a substantial contribution to the public health literature by offering a novel and practical solution for balancing patient load among healthcare centers. Its successful application in simulated environments suggests a promising pathway for real-world implementations, potentially leading to more efficient healthcare systems and improved patient care outcomes.

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Section: Introductionmentioning

confidence: 99%

Assigning Patients to Healthcare Centers Using Dispatching Rules

Teymourifar,

Trindade

2023

Preprint

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This study proposes a model for the balanced assignment of patients to healthcare centers in a region. In the suggested model, it is supposed that patients want to go to the nearest center, which causes an imbalance in the workloads of resources between centers. This disproportion is undesirable not only for the centers but also for the patients. Thus, balancing assignments is targeted. This goal is expressed in a model with a multi-objective function. Since balancing is one of the main goals of the sectorization concept, we characterize the model based on it. Unlike studies in the literature, we do sectorization employing dispatching rules. This diminishes the problem's complexity and makes it suitable for solving actual, large, and dynamic problems. We simulated the system using the Rockwell Arena software. We consider the effect of different seasons, days, and hours on the system. The dispatching rule used for sectorization is optimized using the OptQuest software. The numerical results demonstrate that by optimizing the dispatching rule, it is possible to enhance the objective function significantly.

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A Discrete-Event Simulation Model of Hospital Patient Flow Following Major Earthquakes

Cited by 21 publications

References 88 publications

The role of social institutions in community resilience following extreme natural hazard events

The role of social institutions in community resilience following extreme natural hazard events

Balanced Assignment of Patients to Healthcare Centers Using Dispatching Rules

Assigning Patients to Healthcare Centers Using Dispatching Rules

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