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Reducing waiting time for elective surgeries


Reducing waiting time for elective surgeries

Popp, Alexandru (2016) Reducing waiting time for elective surgeries. Masters thesis, Concordia University.

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Currently, the positioning of patients on elective surgical procedures wait lists is carried out through a decentralized approach involves a complex set of interactions between hospital capacities and patient demands in Quebec.
The primary goal of the research is to determine if a centralized vs. the present decentralized organizational system is beneficial for the patients, in such a manner that the priority on the waiting lists of patients is updated to reflect the amount of time they have waited. The current study combines quantitative computer simulations and qualitative interviews that help in the understanding and interpretation of the simulations’ results. The qualitative and quantitative results are triangulated in order to provide better analysis of the results.
The qualitative portion of this examination, based on different literature reviews as well as on 12 interviews performed with the hospital’s staff, aims at understanding the environment and what pressures the hospital staff face in their procedures to create the elective surgeries schedule. The results show that different surgical units within the same hospital have different methods to plan the surgical schedule.
The quantitative analysis is based on simulating a centralized planning method of elective surgeries planning for five different surgical units in order to provide different perspectives vis-à-vis the current decentralized planning method. The difference between the approaches is provided in order to obtain the best method that minimizes elective surgery waiting time, taking in consideration certain factors.
The results of the simulations show that centralization is beneficial for certain surgical units and for specific indicators, where decentralization is beneficial for other units and/or indicators. However, there is no definitive overall conclusion that centralization is better than decentralization or vice-versa.

Divisions:Concordia University > John Molson School of Business > Management
Item Type:Thesis (Masters)
Authors:Popp, Alexandru
Institution:Concordia University
Degree Name:M. Sc.
Program:Administration (Management option)
Date:15 April 2016
Thesis Supervisor(s):Lamertz, Kai and Vahidov, Rustam
Keywords:elective surgery, waiting list, waiting time, OR, optimization, simulation, centralized planning, decentralized planning
ID Code:981109
Deposited On:17 Jun 2016 14:39
Last Modified:18 Jan 2018 17:52


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