LHSC Multi-Organ Transplant Program: Pooling Ontario's Kidney Transplant Wait-Lists
(5 pages of text)
In 2017, wait times for kidney transplants in Ontario were getting out of hand. While patients from London Health Sciences Centre’s kidney transplant program in London, Ontario, had a reasonable wait of approximately one year, patients in Toronto's kidney transplant program waited almost four years. In an attempt to improve the overall wait times for all Ontario patients, the provincial Ministry of Health intended to merge the two currently independent programs and create a unified wait-list. Two doctors at London Health Sciences Centre were concerned about the effects of the merger for their patients in London, and asked an analytics specialist to determine the effects of the merger. Would the merger have the adverse outcome they expected for their patients’ wait times?
This case is suitable for undergraduate, graduate, and management of science simulation courses. Students are expected to have knowledge of basic statistical distributions and Microsoft Excel formulas. This case introduces basic queuing theory and discrete-event simulation (DES) models. After working through the case and assignment questions, students will be able to do the following:
- explain basic queuing theory, in particular, the M/M/1, M/M/s and M/G/1 models;
- understand the trade-offs and the roles of variance and pooling in queuing performance metrics;
- evaluate a queuing system performance measures;
- create a simple DES model.
Health Care Services
Canada, Large, 2017
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