This paper describes the use of operational research techniques to analyze the wait list for the Division of General Surgery at the Capital District Health Authority in Halifax, Nova Scotia, Canada. A discrete event simulation model was developed to aid capacity planning decisions and to analyze the performance of the division. The analysis examined the consequences of redistributing beds between sites, and achieving standard patient lengths of stay, while contrasting them to current and additional resource options. From the results, multiple independent and combined options for stabilizing and decreasing waits for elective procedures were proposed.

An integer-programming model and a post-solution heuristic allocates operating room time to the five surgical divisions at Toronto's Mount Sinai Hospital. The hospital has used this approach for several years and credits it with both administrative savings and the ability to produce quickly an equitable master surgical schedule.

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