Matta / Sahin / Li | Health Care Systems Engineering for Scientists and Practitioners | Buch | sack.de

Matta / Sahin / Li Health Care Systems Engineering for Scientists and Practitioners



HCSE, Lyon, France, May 2015

1. Auflage 2016, Band: 169, 214 Seiten, Gebunden, Book, Format (B × H): 160 mm x 241 mm, Gewicht: 4675 g Reihe: Springer Proceedings in Mathematics & Statistics
ISBN: 978-3-319-35130-8
Verlag: Springer-Verlag GmbH


Matta / Sahin / Li Health Care Systems Engineering for Scientists and Practitioners

In this volume, scientists and practitioners write about new methods and technologies for improving the operation of health care organizations. Statistical analyses play an important role in these methods with the implications of simulation and modeling applied to the future of health care. Papers are based on work presented at the Second International Conference on Health Care Systems Engineering (HCSE2015) in Lyon, France. The conference was a rare opportunity for scientists and practitioners to share work directly with each other. Each resulting paper received a double blind review. Paper topics include: hospital drug logistics, emergency care, simulation in patient care, and models for home care services.

Zielgruppe


Research

Weitere Infos & Material


Chapter 1: Systems approach for preventing falls in hospitals and nursing homes using sensing devices surrounding the patient's bed Masato Takanokura, Masafumi Miyake, Masaru Kawakami, Tetsuo Yamada, Seiko Taki, Munenori Kakehi
Chapter 2: A Multiobjective Patient Admission Planning Improving Resources Utilisation Under Bed Capacity Constraints Alain Guinet, Nadine Meskens, Tao WANG
Chapter 3: Multi-Criteria Decision Making approaches to Prioritize Surgical Patients Samira Abbasgholizadeh Rahimi, Afshin Jamshidi, Angel Ruiz, Daoud Ait-Kadi
Chapter 4: Bed Managers: the patients personal assistant Sylvie Meyran, Seren Schirra, Gaelle Olleon, Estelle Forestier, Emmanuel Beaudry, Marie Lassaigne
Chapter 5: An optimization model for sequence dependent parallel operating room scheduling Johan Holmgren, Marie Persson
Chapter 6: A Mean-Field Analysis for the Two-Tiered Healthcare Network through Nonlinear Markov Processes Na Li, Quanlin li, Ruina Fan
Chapter 7: Scheduling Magnetic Resonance Imaging Examinations: an Empirical Analysis Filippo Visintin, Paola Cappanera
Chapter 8: A managerial use of the volume-outcome association for hospital planning Arianna Alfieri, Elisabetta Listorti, Andrea Matta
Chapter 9: A Discrete Event Simulation Model for the Admission of Patients to a Home Care Rehabilitation Service Azadeh Maroufkhani, Ettore Lanzarone, Cecily Castelnovo, Maria Di Mascolo
Chapter 10: Ambulance Location Problem with Stochastic Call Arrivals under Nearest Available Dispatching Policy Inkyung Sung, Taesik Lee
Chapter 11: Approach to Clustering Clinical Departments Alexander Hübner, Manuel Walther, Heinrich Kuhn Chapter 12: Management of Blood Donation System: Literature Review and Research Perspectives Seda Bas, Giuliana Carello, Ettore Lanzarone, Semih Yalcindag, Zeynep Ocak
Chapter 13: Staffing Ratio Analysis in Primary Care Redesign: A Simulation Approach Xiang Zhong, Hyo Kyung Lee, Molly Williams, Sally Kraft, Jeffrey Sleeth, Richard Welnick, Lori Hoschild, Jingshan Li
Chapter 14: Disease prevention and control plans: state of the art and future research guideline Wanying Chen, Alain Guinet, Angel Ruiz
Chapter 15: A goal-programming approach to the master surgical scheduling problem Paola Cappanera, Filippo Visintin, Carlo Banditori
Chapter 16: How Do Missing Patients Aggravate Emergency Department Overcrowding? A Real Case and a Simulation Study Yong-Hong Kuo, Janny Leung, Colin A. Graham
Chapter 17: System Dynamics Modeling of Emergent and Elective Patient Flows Paolo Landa, Michele Sonnessa, Elena Tànfani, Angela Testi
Chapter 18: Markov Decision Process Model for Patient Admission Decision at an Emergency Department in Disasters Hyun-Rok Lee, Taesik Lee
Chapter 19: Crisis management plan: preventive measures and lessons learned from a major computer system failure Hélène Grange, Jérémie Leynon


Matta, Andrea
Andrea Matta is Distinguished Professor at the Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University (SJTU). He graduated in Industrial Engineering at Politecnico di Milano where he developed his teaching and research activities as temporary Researcher from 1997 to 2001, Assistant Professor from 2001 to 2010, and Associate Professor from 2010 to current date. His research area includes analysis, design, and management of production and healthcare systems. He currently teaches Stochastic Models and System Modeling & Simulation at SJTU. He has published more than 100 papers, which have appeared on international journals and conference proceedings.

Evren Sahin is Full University Professor of Operations Management at CentraleSupélec, France. She received her PhD in Supply Chain Management in 2004. She is Director of the Faurecia Chair on Manufacturing and Logistics where she develops research in plant logistics optimization, cross-docking, and inventory management. She also works on healthcare management, with a particular focus on home care, emergency services design, and hospital flow management. She has more than thirty papers in international journals.
Jingshan Li received his BS from the Department of Automation, Tsinghua University, his MS from the Institute of Automation, Chinese Academy of Sciences, and his PhD in Electrical Engineering-Systems, at the University of Michigan in 1989, 1992 and 2000, respectively. He has worked in the Department of Electrical and Computer Engineering at the University of Kentucky and in the Manufacturing Systems Research Lab at General Motors Research & Development Center. He is currently a Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. Dr. Li is the co-author of the textbook Production Systems Engineering and co-editor of multiple book volumes on system science, sustainable production, battery manufacturing and management, and healthcare systems. In addition, he has published more than 70 refereed journal articles, 10 book chapters and 100 peer reviewed conference proceedings. He also has served as editor for multiple journals and has received such awards as the 2006 IEEE Early Industry/Government Career Award in Robotics and Automation. His primary research interests are in design, analysis, and improvement and control of production and healthcare delivery systems. His research has been supported by NSF, DOE, NIST, PCORI, industry and healthcare organizations.
Alain Guinet is a full University Professor in the Industrial Engineering Department of INSA (Institut National des Sciences Appliquées) de Lyon in France. He received a PhD in 1983 and an Accreditation to Supervise Research (Habilitation à Diriger les Recherches) in 1992. He currently teaches Operation Research, Staffing and Scheduling, and Business Process Reengineering. His research activity is based on hospital management problems such as operating theatre control, hospital regrouping management, emergency network reengineering, home care resource coordination, hospital supply chain, and logistics for disaster management. His scientific investigations include human and material resources dimensioning, planning and scheduling, production network reengineering, defense, and logistics.

Nico Vandaele holds a degree Commercial Engineering (1990) and obtained a PhD in Applied Economics, Operations Research and Operations Management from KULeuven in 1996. He has served as executive director of the Innovation and Incubation Center at Kortrijk, Nyo Alatus and Xathlon, and has served as consultant/advisor for many major global companies. He is currently Full Professor Operations Management at the KULeuven, Faculty of Business and Economics. He is holder of the GSK Researc


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