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Health Care Systems Engineering for Scientists and Practitioners: HCSE, Lyon, France, May 2015 de Andrea Matta

Health Care Systems Engineering for Scientists and Practitioners: HCSE, Lyon, France, May 2015: Springer Proceedings in Mathematics & Statistics, cartea 169

Editat de Andrea Matta, Evren Sahin, Jingshan Li, Alain Guinet, Nico J. Vandaele
en Limba Engleză Hardback – 2 sep 2016
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. 
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Specificații

ISBN-13: 9783319351308
ISBN-10: 3319351303
Pagini: 198
Ilustrații: XII, 214 p. 66 illus., 44 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.5 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics

Locul publicării:Cham, Switzerland

Cuprins

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 patient's 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 Baş, 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.

Recenzii

“This is a collection of peer-reviewed contributions from Second International Conference on Health Care Systems Engineering in Lyon, France. … The target audience includes faculties, medical doctors, students, and nurses from a variety of disciplines, particularly those who are interested in healthcare system engineering. … This is a useful collection of papers on advances in healthcare systems engineering research.” (Kamesh Sivagnanam, Doody's Book Reviews, November, 2016)

Notă biografică

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 Research Chair on Operations Management. He is a research member of the Research Center of Operations Management. He is also a visiting researcher at CORE and IAG (Université Catholique de Louvain). Dr. Vandaele teaches courses in operations research, operations management and supply chain management, and he has published in multiple leading journals. His research interests are situated in modeling of manufacturing and service systems, performance measurement, the design of planning systems, sales and operations management, factory physics, healthcare management, and traffic modeling. Other research deals with decision support systems for product design and development and portfolio management. He is active in several executive training programs, both national and international.

Textul de pe ultima copertă

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.
  • Discusses statistical analysis and operations management for health care delivery systems based on real case studies
  • Papers in this volume received a double blind review
  • Brings together the work of scientists, practitioners, and clinicians to unite research and practice in the future of these systems
  • Topics include: hospital drug logistics, emergency care, modeling and simulation in patient care and healthcare organizations and in home care services

Caracteristici

Discusses statistical analysis and operations management for health care delivery systems based on real case studies Papers in this volume received a double blind review Brings together the work of scientists, practitioners, and clinicians to unite research and practice in the future of these systems Topics include: hospital drug logistics, emergency care, modeling and simulation in patient care and healthcare organizations and in-home care services