Journées de l'optimisation 2017
HEC Montréal, 8-10 mai 2017
1er Atelier Canadien sur l'optimisation des soins de santé (CHOW)
HEC Montréal, 10-11 mai 2017
JOPT2017
HEC Montréal, 8 — 11 mai 2017

MD8 Problèmes de transport en santé / Transportation problems in healthcare
8 mai 2017 15h30 – 17h10
Salle: TAL Gestion globale d'actifs inc.
4 présentations
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15h30 - 15h55
A review of health logistics in war zones
Healthcare access is limited in a war zone. Thus, mobile clinics are employed to serve as a temporary solution. These are customized vehicles from which healthcare practitioners may provide services. This presentation reviews relevant literature on mobile clinics and highlights the gap related to operations research and operations management.
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15h55 - 16h20
A support decision tool to choose patient transportation and accompanying
Patient external transportation is a major portion of the budget of logistics in health care facilities in Quebec .These organizations have decided uniformize their decision process regarding the booking and the choice of patient external transportation. In order to standardize, we design a support decision prototype to help choose the right type of transportation and accompanying for patients.
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16h20 - 16h45
Simulation model for patient external transportation in Montreal
Patient external transportation is a major portion of the budget of logistics in health care facilities in Quebec. The institutions are currently uniformizing their decision process regarding the organization of patient external transportation. Different strategies for booking are tested using a simulation model. We also take advantage of the model to test routing scenarios, introduce new vehicles, and finally test levels of centralization.
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16h45 - 17h10
Planning a unified transport system for healthcare institutions
Since April 2015, Montreal’s healthcare facilities have been merged into CIUSSSs to reduce the operating costs. We can wonder if a unified transportation system to serve the patients of all CIUSSSs could allow additional savings. To verify this hypothesis, we propose a clustering model to solve the daily patient’s transportation problem.