Queuing network models for panel sizing in oncology

Peter Vanberkel (Corresponding Author), Nelli Vladimirovna Litvak, Martin Puterman, Scott Tyldesley

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
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Abstract

Motivated by practices and issues at the British Columbia Cancer Agency (BCCA), we develop queuing network models to determine the appropriate number of patients to be managed by a single physician. This is often referred to as a physician’s panel size. The key features that distinguish our study of oncology practices from other panel size models are high patient turnover rates, multiple patient and appointment types, and follow-up care. The paper develops stationary and non-stationary queuing network models corresponding to stabilized and developing practices, respectively. These models are used to determine new patient arrival rates that ensure practices operate within certain performance thresholds. Data from the BCCA are used to calibrate and illustrate the implications of these models.
Original languageEnglish
Pages (from-to)291-306
Number of pages16
JournalQueueing systems
Volume90
Issue number3-4
Early online date30 Jan 2018
DOIs
Publication statusPublished - 1 Dec 2018

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Queuing Networks
Queuing Model
Oncology
Network Model
Cancer
Model
Network model
Queuing networks
Sizing
British Columbia
Physicians

Keywords

  • UT-Hybrid-D
  • Panel sizing
  • Oncology
  • Capacity Planning
  • Queueing networks

Cite this

Vanberkel, Peter ; Litvak, Nelli Vladimirovna ; Puterman, Martin ; Tyldesley, Scott. / Queuing network models for panel sizing in oncology. In: Queueing systems. 2018 ; Vol. 90, No. 3-4. pp. 291-306.
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Vanberkel, P, Litvak, NV, Puterman, M & Tyldesley, S 2018, 'Queuing network models for panel sizing in oncology' Queueing systems, vol. 90, no. 3-4, pp. 291-306. https://doi.org/10.1007/s11134-018-9571-4

Queuing network models for panel sizing in oncology. / Vanberkel, Peter (Corresponding Author); Litvak, Nelli Vladimirovna; Puterman, Martin; Tyldesley, Scott.

In: Queueing systems, Vol. 90, No. 3-4, 01.12.2018, p. 291-306.

Research output: Contribution to journalArticleAcademicpeer-review

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