Document Detail


Reducing elective general surgery cancellations at a Canadian hospital.
MedLine Citation:
PMID:  23351498     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: In Canadian hospitals, which are typically financed by global annual budgets, overuse of operating rooms is a financial risk that is frequently managed by cancelling elective surgical procedures. It is uncertain how different scheduling rules affect the rate of elective surgery cancellations.
METHODS: We used discrete event simulation modelling to represent perioperative processes at a hospital in Toronto, Canada. We tested the effects of the following 3 scenarios on the number of surgical cancellations: scheduling surgeons' operating days based on their patients' average length of stay in hospital, sequencing surgical procedures by average duration and variance, and increasing the number of postsurgical ward beds.
RESULTS: The number of elective cancellations was reduced by scheduling surgeons whose patients had shorter average lengths of stay in hospital earlier in the week, sequencing shorter surgeries and those with less variance in duration earlier in the day, and by adding up to 2 additional beds to the postsurgical ward.
CONCLUSION: Discrete event simulation modelling can be used to develop strategies for improving efficiency in operating rooms.
Authors:
Solmaz Azari-Rad; Alanna L Yontef; Dionne M Aleman; David R Urbach
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Canadian journal of surgery. Journal canadien de chirurgie     Volume:  56     ISSN:  1488-2310     ISO Abbreviation:  Can J Surg     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-03-22     Completed Date:  2013-05-16     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  0372715     Medline TA:  Can J Surg     Country:  Canada    
Other Details:
Languages:  eng     Pagination:  113-8     Citation Subset:  IM    
Affiliation:
The Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ont.
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MeSH Terms
Descriptor/Qualifier:
Appointments and Schedules
Efficiency, Organizational*
Health Services Misuse / prevention & control
Humans
Length of Stay
Models, Organizational*
Ontario
Operating Rooms / organization & administration*
Surgical Procedures, Elective / statistics & numerical data*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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