Simulation Model of a Multi-Hospital Critical Care Network

Rutherford, Alexander R.; Zimmerman, Samantha; Mina, Mani; Barket, Rashid; Ahkioon, Steve; Griesdale, Donald

doi:10.1109/wsc57314.2022.10015490

Cited by 2 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• OLS models were applied to the bed management of intensive care networks in [12], [13], and [14], where some patients may be referred to any intensive care unit in a group. Other examples of OLS models in healthcare settings include [28], [29], [30], [31], and [32].…”

Section: A From ''Old'' Telephony To Wireless and Beyond: A Century O...mentioning

confidence: 99%

A Century-Long Challenge in Teletraffic Theory: Blocking Probability Evaluation for Overflow Loss Systems With Mutual Overflow

Wong

Chan

2023

IEEE Access

View full text Add to dashboard Cite

In this review, we describe historical and recent developments towards tackling a centurylong challenge in teletraffic theory, namely the evaluation of blocking probability in overflow systems with mutual overflow. Such systems have many applications in a variety of telecommunications and service systems, including wireless communications, cloud computing, intensive care, and emergency services, and various methods have been developed over the past century to address this challenge. In particular, the recent development of the Information Exchange Surrogate Approximation (IESA) (Wong et al., Sep. 2013; provides significantly increased accuracy and robustness compared to previous approximation methods of its kind while also providing high computational efficiency not available via simulation or exact analysis. To the best of our knowledge, IESA is the first analytical method to combine high levels of accuracy, robustness, and computational efficiency when evaluating blocking probability in overflow systems with mutual overflow, and thus forms a major breakthrough in this century-long effort.

show abstract

Section: A From ''Old'' Telephony To Wireless and Beyond: A Century O...mentioning

confidence: 99%

A Century-Long Challenge in Teletraffic Theory: Blocking Probability Evaluation for Overflow Loss Systems With Mutual Overflow

Wong

Chan

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

Optimal Equipment Capacity Planning in the Neonatal Intensive Care Unit with Simulation-Optimization Approach

Narlı,

Kuvvetli,

Kokangül

2024

Gazi University Journal of Science

View full text Add to dashboard Cite

Capacity planning should be performed to balance investment costs and benefits of investing to meet the current and future demand in intensive care units. Having a high capacity to increase patient admission will lead to unutilized capacity in some periods, thereby increasing costs. On the other hand, patient admission requests from inborn and transported patients might be rejected due to lack of equipment. It should be considered in terms of cost-effectiveness and patient health; therefore, optimal equipment capacity must be determined. In this study, the optimal capacity planning problem has been considered for the neonatal intensive care unit of a hospital adopting the simulation-optimization approach. A discrete event simulation model is proposed for a neonatal intensive care unit in Adana, Turkey. Then, the optimization model identified the optimal numbers of incubators, ventilators, and nitric oxide devices to maximize equipment efficiency and minimize total inborn patient rejection and transport ratios. Three different resource allocations are presented, and the best is obtained from these three objectives as 72 incubators, 35 ventilators, and three nitric oxide devices. The application results obtained have revealed that the rejection and transport rate, which is found to be 1.12% in the current situation, can be reduced to 0.2% with different numbers of equipment and that equipment efficiency can be achieved with optimal numbers of equipment. The results of the study can help the decision-makers when minimum transport and rejection ratios are critical which almost intensive care units are required. Furthermore, the proposed simulation-optimization model can be adapted to different neonatal intensive care units having the same characteristics.

show abstract

Simulation Model of a Multi-Hospital Critical Care Network

Cited by 2 publications

References 31 publications

A Century-Long Challenge in Teletraffic Theory: Blocking Probability Evaluation for Overflow Loss Systems With Mutual Overflow

A Century-Long Challenge in Teletraffic Theory: Blocking Probability Evaluation for Overflow Loss Systems With Mutual Overflow

Optimal Equipment Capacity Planning in the Neonatal Intensive Care Unit with Simulation-Optimization Approach

Contact Info

Product

Resources

About