Health Care Systems Engineering

HCSE, Montréal, Canada, May 30 - June 1, 2019
1. Auflage 2020
ISBN: 978-3-030-39693-0
Verlag: Springer International Publishing

Buch, Englisch, Band 316, 304 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 698 g

Reihe: Springer Proceedings in Mathematics & Statistics

This book presents the proceedings of the Fourth International Conference on Health Care Systems Engineering (HCSE 2019), which took place in Montreal, Canada, from May 30 to June 1, 2019. The event took place in the mother and child university hospital CHU Sainte-Justine in Montréal, and each session was co-chaired by a discussant coming from the clinical practice.

The conference offered scientists and practitioners an opportunity to discuss operations management issues in health care delivery systems, and to share new ideas, methods and technologies for improving the operation of health care organizations.

Focusing on applications of systems engineering, optimization and statistics to improve health care delivery and health systems, the book covers topics relating to a broad spectrum of concrete problems that pose challenges for researchers and practitioners alike, including hospital drug logistics, operating theatre management, blood donation, home care services,modeling, simulation, process mining and data mining in patient care and health care organizations.

Zielgruppe

Research

Autoren/Hrsg.

Bélanger, Valérie

Yalç¿nda¿, Semih

Lahrichi, Nadia

Lanzarone, Ettore

Yalçindag, Semih

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik Mathematik Operations Research

Inhaltsverzeichnis

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. Bélanger, 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. Yalçindag, Uncertainty in the Blood Donation Appointment Scheduling: Key Factors and Research Perspectives.

Über Autor(innen)

Valérie Bélanger is an Assistant Professor at the HEC Montréal. She holds an M.Sc. in Mechanical Engineering (Université Laval) and a Ph.D. in Decision Sciences (HEC Montréal). Her main research interests focus on health care logistics and emergency service management. Her main methodological expertise is in operations research. She is currently working together with various organizations from the health care sector on projects related to patient and material transportation, home care and network design.

Nadia Lahrichi holds a Ph.D. in Operations Research from the Polytechnique Montréal, where she is a Professor at the Department of Mathematical and Industrial Engineering. Her research focuses on applying modelling and operational research tools in health care. Her recent work has examined patient flow optimization, scheduling and workforce planning problems. She has received the CORS Practice Prize for outstanding application of operational research (2018) and the GISEH best paper award (2012, 2016).

Ettore Lanzarone received his Ph.D. in Bioengineering from the Politecnico di Milano in 2008. He is currently a researcher at the National Research Council of Italy (CNR) Institute for Applied Mathematics and Information Technology “E. Magenes” (IMATI); an Adjunct Professor at the Politecnico di Milano, Italy, and at the University of Bergamo, Italy; and a collaborating member of CIRRELT. His research interests include operations research (robust and stochastic optimization approaches, decomposition approaches and metaheuristics, with applications in health care and the manufacturing industry), stochastic modelling and bioengineering.

Semih Yalçindag is an Assistant Professor at the Industrial and Systems Engineering Department of Yeditepe University. He received his B.S. degree in Systems Engineering from Yeditepe University and his M.S. degree in Industrial Engineering from Sabanci University, and completed a joint Ph.D. degree in Industrial Engineering at the Politecnico di Milano and Ecole Centrale Paris. Following his studies, he worked as a postdoctoral fellow at the Department of Management Sciences at the HEC Montréal and CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation). His current interests are mainly in the area of applied operations research, where he is working to model and solve optimization problems in health care operations, scheduling and sequencing, transportation and sustainable operations.