Stability of Queueing Networks

Down, Douglas G.

doi:10.1007/978-3-540-68896-9_4

Cited by 1 publication

(1 citation statement)

References 57 publications

(167 reference statements)

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“…For the comparisons having significantly higher/lower change in LoS, queueing theory concepts "traffic intensity", measuring the average occupancy of a service system, and "stability", indicating whether its traffic intensity is at manageable levels or not, were helpful to explain this phenomenon [12,13]. The improvements observed in LoS were noticeably higher when reducing infusion duration led an unstable infusion site to experience manageable traffic intensity and become stable.…”

Section: Effect Of Infusion Time On Patient Length Of Staymentioning

confidence: 99%

Staffing and Capacity Planning for SARS-CoV-2 Monoclonal Antibody Infusion Facilities: A Performance Estimation Calculator based on Discrete-Event Simulations

Çaǧlayan

Thornhill

Stewart

et al. 2021

Preprint

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Objective: The COVID-19 pandemic has significantly stressed healthcare systems. The addition of monoclonal antibody (mAb) infusions, which prevent severe disease and reduce hospitalizations, to the repertoire of COVID-19 countermeasures offers the opportunity to reduce system stress but requires strategic planning and use of novel approaches. Our objective was to develop a web-based decision-support tool to help existing and future mAb infusion facilities make better and more informed staffing and capacity decisions. Materials and Methods: Using real-world observations from three medical centers operating with federal field team support, we developed a discrete-event simulation model and performed simulation experiments to assess performance of mAb infusion sites under different conditions. Results: 162,000 scenarios were evaluated by simulations. Our analyses revealed that it was more effective to add check-in staff than to add additional nurses for middle-to-large size sites with ≥ 2 infusion nurses; that scheduled appointments performed better than walk-ins when patient load was not high; and that reducing infusion time was particularly impactful when load on resources was only slightly above manageable levels. Discussion: Physical capacity, check-in staff, and infusion time were as important as nurses for mAb sites. Health systems can effectively operate an infusion center under different conditions to provide mAb therapeutics even with relatively low investments in physical resources and staff. Conclusion: Simulations of mAb infusion sites were used to create a capacity planning tool to optimize resource utility and allocation in constrained pandemic conditions, and more efficiently treat COVID-19 patients at existing and future mAb infusion sites.

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Section: Effect Of Infusion Time On Patient Length Of Staymentioning

confidence: 99%