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 language | English |
|---|---|
| Pages (from-to) | 291–306 |
| Number of pages | 16 |
| Journal | Queueing Systems |
| Volume | 90 |
| Issue number | 3-4 |
| DOIs | |
| Publication status | Published - 1 Dec 2018 |
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Keywords
- Capacity planning
- Oncology
- Panel sizing
- Queueing networks
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Queuing network models for panel sizing in oncology. / Vanberkel, Peter T.; Litvak, Nelly; Puterman, Martin L.; Tyldesley, Scott.
In: Queueing Systems, Vol. 90, No. 3-4, 01.12.2018, p. 291–306.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Queuing network models for panel sizing in oncology
AU - Vanberkel, Peter T.
AU - Litvak, Nelly
AU - Puterman, Martin L.
AU - Tyldesley, Scott
PY - 2018/12/1
Y1 - 2018/12/1
N2 - 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.
AB - 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.
KW - Capacity planning
KW - Oncology
KW - Panel sizing
KW - Queueing networks
UR - http://www.scopus.com/inward/record.url?scp=85041220343&partnerID=8YFLogxK
U2 - 10.1007/s11134-018-9571-4
DO - 10.1007/s11134-018-9571-4
M3 - Article
AN - SCOPUS:85041220343
VL - 90
SP - 291
EP - 306
JO - Queueing Systems: Theory and Applications
JF - Queueing Systems: Theory and Applications
SN - 0257-0130
IS - 3-4
ER -