Quantitative Modelling for Wait Time Reduction

Name: Quantitative Modelling for Wait Time Reduction
Brand: VDM Verlag
SKU: 9783639093704
Price: 274.05 RON
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Autor: Peter van Berkel

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Editura: VDM Verlag

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This thesis describes the use of operational research§techniques to analyze the wait list for the di...

Informații despre carte

Autor

Peter van Berkel

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2008

Pagini

100

EAN

9783639093704

ISBN

3639093704

Enbook ID

06818447

Editura

VDM Verlag

Greutate

145

Dimensiuni

152 x 229 x 5

Descriere completă

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. 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.

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Quantitative Modelling for Wait Time Reduction

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