Health Care Systems Engineering

Valerie Belanger is an Assistant Professor at the HEC Montreal. She holds an MS in Mechanical Engineering (Universite Laval) and a PhD in Decision Sciences (HEC Montreal). Her research focuses on health care logistics and emergency service management, while her methodological expertise is operations research. She works with various organizations in the health care sector on projects related to patient and material transportation, home care, and network design. Nadia Lahrichi holds a PhD in Operations Research from the Polytechnique Montreal, where she is now an Associate Professor at the Department of Mathematical and Industrial Engineering. Her research focuses in applying modeling and operational research tools in healthcare, and she has recently investigated patient flow optimization, scheduling and workforce planning problems. Ettore Lanzarone is a Researcher at the Institute for Applied Mathematics and Information Technology (IMATI) of the National Research Council of Italy (CNR), and an Adjunct Professor at the University of Bergamo and the Politecnico di Milano. He holds a PhD in Bioengineering and an MS in Biomedical Engineering from the Politecnico di Milano. His research activities include operations research applied to health care, stochastic modeling, and bioengineering. Semih Yalcindag is an Assistant Professor at the Industrial and Systems Engineering Department of the Yeditepe University. He holds an MS in Industrial Engineering from Sabanci University, and a joint PhD in Industrial Engineering from Politecnico di Milano and Ecole Centrale Paris. His research focuses on applied operations research, and he is currently woking on modeling and solving optimization problems in healthcare operations, scheduling and sequencing, transportation and sustainable operations.

T. Foster, Non-emergency patient transfer scheduling and assignment.- Y.-H. Kuo, Non-emergency patients transportation with the consideration of user inconvenience.- P. Landa, Modelling hospital internal medicine wards to address patient complexity: a simulation-optimization approach.- C. Busby, Benefits of a Broader View: Patient Flow Modelling of Congested Hospitals.- L. Boyle, Coxian phase-type regression models for understanding the relationship between patient attributes, overcrowding, and length of stay in hospital emergency departments.- V. Belanger, A Realistic Simulation Model of Montreal Emergency Medical Services.- F. Visintin, A two-phase approach to the Emergency Department Physician Rostering Problem.- P. Vanberkel, Using a slotted queueing model to predict the efficacy of Physician absent Emergency Department for rural communities.- K. Shin, A Meta Algorithm For Reinforcement Learning: Emergency Medical Service Resource Prioritization Problem in an MCI as an example.- C. Dosi, Facing Implementation barriers to simulation studies.- I. Marques, Reallocating operating room time: a Portuguese case.- K. Moons, Evaluating replenishment systems for disposable supplies at the operating theater: a simulation case study.- A. Orn Sigurpalsson, Stochastic surgery scheduling under a balanced ratio of in- and outpatients and ward uncertainty.- S. Germain, Multicriteria Scheduling Optimization in Home Health Care.- M. Shiri, 15.A Two-Phase Method for Robust Home Healthcare Problem: A Case Study.- L.-M. Rousseau, Adverse Event Prediction by Telemonitoring and Deep Learning.- A. Guinet,Mass casualty events: a decision making tool for home health care to discharge conventional hospitals.- N. Lahrichi, Simultaneous optimization of appointment grid and technologist scheduling in a radiology center.- B. Vieira, Mathematical programming models for radiotherapy scheduling with time windows.- R. Aringhieri, 20.Pattern-based online algorithms for a general patient-centred radiotherapy scheduling problem.- A. Robbes, Multi-level heuristic to optimize the chemotherapy production and delivery.- N. Aslani, Appointment type-based access time evaluation in primary care.- S. Yalcindag, Uncertainty in the Blood Donation Appointment Scheduling: Key Factors and Research Perspectives.