V
Valérie Bélanger
Researcher at HEC Montréal
Publications - 28
Citations - 393
Valérie Bélanger is an academic researcher from HEC Montréal. The author has contributed to research in topics: Computer science & Context (language use). The author has an hindex of 7, co-authored 20 publications receiving 228 citations. Previous affiliations of Valérie Bélanger include Université de Montréal.
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Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles
TL;DR: Modern modeling approaches to address problems related to ambulance fleet management, particularly those related to vehicle location and relocation, as well as dispatching decisions are discussed.
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A generic and flexible simulation-based analysis tool for EMS management
TL;DR: In this article, the authors proposed a generic discrete event simulation-based analysis tool, which can be adapted to a wide range of emergency medical services contexts and can identify several common characteristics and processes from one EMS context to another.
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An empirical comparison of relocation strategies in real-time ambulance fleet management
TL;DR: Empirical study confirms that dynamic strategies dominate static ones and quantifies the improvements achieved with respect to service level, but also shows that such improvements are obtained at the expense of significant relocation costs.
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A recursive simulation-optimization framework for the ambulance location and dispatching problem
TL;DR: A recursive simulation-optimization framework which encompasses a mathematical formulation for the ALDP and a discrete event simulation model that produces both empirical estimations of the ambulance availability and the system’s performance is proposed.
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Patient prioritization tools and their effectiveness in non-emergency healthcare services: a systematic review protocol
Julien Déry,Angel Ruiz,François Routhier,Marie-Pierre Gagnon,André Côté,Daoud Ait-Kadi,Valérie Bélanger,Simon Deslauriers,Marie-Eve Lamontagne +8 more
TL;DR: A systematic review of published evidence concerning patient prioritization tools’ characteristics, their metrological properties, and their effect measures across non-emergency services will benefit clinicians, decision-makers, and researchers by giving them a better understanding of the methods used to prioritize patients in clinical settings.