The waiting game: managing flow by applying queuing theory in Canadian emergency departments

Johnston, Aaron; Lang, Eddy; Innes, Grant

doi:10.1007/s43678-022-00318-9

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Most of the papers study queueing models in emergency departments based on the waiting time in this part of the hospital, which is critical [27,28]. [29] mentions that queueing model presents applicable models to minimize patients' waiting time and maximize emergency department performance.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel mathematical model to minimize the total cost of the hospital and COVID-19 outbreak concerning waiting time of patients using Jackson queueing networks, a case study

Ghasemi¹,

Taghipour²,

Aghsami³

et al. 2023

Scientia Iranica

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One of the patients' basic needs when referring to the hospital is to access doctors as soon as possible at a low cost. In this regard, many hospital managers aim to improve healthcare quality.They strive to plan and perform better patient flow in different parts of hospitals. With the widespread of Covid-19, the importance of this matter has become more apparent. Queueing systems are one of the methods that help recognize delays and help to identify bottlenecks. This paper has extended a queue theory model to measure the number of servers in each part of the hospital. The model aims to reduce the hospital's expected total cost, including the waiting time cost of the patients in queues, idle server cost, operating, and the marginal cost of the servers, in a covid-19 pandemic. The proposed model has been solved with Grasshopper Optimization Algorithm (GOA) for large-scale data. Then sensitivity analysis is presented to understand the model better and identify effective parameters.

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Section: Literature Reviewmentioning

confidence: 99%

A novel mathematical model to minimize the total cost of the hospital and COVID-19 outbreak concerning waiting time of patients using Jackson queueing networks, a case study

Ghasemi¹,

Taghipour²,

Aghsami³

et al. 2023

Scientia Iranica

View full text Add to dashboard Cite

show abstract

“…This includes scheduling resources, e.g., doctors, appointment systems, increasing resource capacity using shift systems, etc. (Elalouf & Wachtel, 2022;Johnston et al, 2022). It is hypothesized that increasing resource capacity in the queues increases the ability to handle patients, thus reducing waiting time.…”

Section: Queuing Theory and Patient Experiencementioning

confidence: 99%

Improving Patient Experience In Healthcare Processes: Discrete Event Simulation-based Approach

Simwita

2023

Tanzania Journal for Population studies and Development

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In an effort to improve patient experience, hospitals face pressure to streamline care processes. This study used discrete event simulation to investigate strategies to improve patient experience in the treatment process characterized by long waiting times. The study proposes a new model of care whereby trained non-surgeons, such as physiotherapists and registered nurses, are involved in treating patients with minor orthopaedic cases. This proposition is expected to have a positive effect by reducing patient waiting time by approximately 73%. Given that developing countries are facing a critical shortage of healthcare personnel, the realized capacity can save the lives of patients that are not supposed to be seen by surgeons due to inadequate capacity. This study informs healthcare managers and policy makers that patient experience in the treatment process can be improved by adopting less-costly strategies, such as using a mid-level workforce to increase workforce capacity and minimize waiting time. This study focused on a single care process with a limited number of variables. It is proposed that subsequent studies could include more than one care process and more variables.

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A design-led PhD study into Emergency Department futures

McGee

2023

Design for Health

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The waiting game: managing flow by applying queuing theory in Canadian emergency departments

Cited by 4 publications

References 4 publications

A novel mathematical model to minimize the total cost of the hospital and COVID-19 outbreak concerning waiting time of patients using Jackson queueing networks, a case study

A novel mathematical model to minimize the total cost of the hospital and COVID-19 outbreak concerning waiting time of patients using Jackson queueing networks, a case study

Improving Patient Experience In Healthcare Processes: Discrete Event Simulation-based Approach

A design-led PhD study into Emergency Department futures

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