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This thesis describes the use of operational research techniques to analyze the wait list for the division of general surgery at the Capital District Health Authority (CDHA) in Halifax, Nova Scotia, Canada. A comprehensive simulation model was developed to facilitate capacity planning decisions and to analyze the performance of the division. At the time of the study the wait list for elective general surgery patients was observed to be growing by approximately 13.2 days per year with no concrete plan to address it. The analysis examined the consequences of redistributing beds between sites,…mehr

Produktbeschreibung
This thesis describes the use of operational research
techniques to analyze the wait list for the division
of general surgery at the Capital District Health
Authority (CDHA) in Halifax, Nova Scotia, Canada. A
comprehensive simulation model was developed to
facilitate capacity planning decisions and to analyze
the performance of the division.
At the time of the study the wait list for elective
general surgery patients was observed to be growing
by approximately 13.2 days per year with no concrete
plan to address it. The analysis examined the
consequences of redistributing beds between sites,
assigning operating room time by surgeon demand, 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.
Autorenporträt
Peter van Berkel is an Industrial Engineer who has worked in the health care industry for over five years. In September 2007 Peter enrolled as a PhD student at the Universiteit Twente, The Netherlands. John is an Associate Professor at Dalhousie University whose research involves the application of operational research in health care.