Operations Research Applications in Health Care Management

1. Auflage 2018
ISBN: 978-3-319-65453-9
Verlag: Springer International Publishing

Buch, Englisch, Band 262, 604 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 10461 g

Reihe: International Series in Operations Research & Management Science

This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.

Zielgruppe

Research

Autoren/Hrsg.

Topcu, Y. Ilker

Kahraman, Cengiz

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement

Inhaltsverzeichnis

Part 1: Overview.- A Taxonomy of Operations Research Studies in Health Care Management.- A Comprehensive Survey on Health Care Management.- Part 2: Medical Units in Hospital.- The Real Time Management of Operating Rooms. Mixed fuzzy clustering for deriving predictive models in intensive care units.- Operations Research for Occupancy Modeling at Hospital Wards and its Integration into Practice.- Part 3: Care Process: Preparedness.- Evaluating Health Care System Efficiency of OECD Countries: A DEA-Based Study.- Health Care Expenditure Prediction in Turkey using Genetic Algorithm based Grey Forecasting Models.- The Impact of Social Networks in Developing and Managing Chronic Care Models.- Part 4: Care Process: Precaution.- The design and planning of organ transplantation networks.- Blood Supply Chain Management and Future Research Opportunities.- Vaccine Supply Management.- Part 5: Care Process: Diagnosis and Prognosis.- OR Applications in Disease Screening.- Classification of Cancer Data: Analyzing Gene Expression Data Using a Fuzzy Decision Tree Algorithm.- Part 6: Care Process: Treatment.- Efficiency of Diabetes Treatment: Evidence from the UK.- A Multiobjective Solution Method for Radiation Treatment Planning.- Part 7: Medical Issues.- OR Models for Emergency Medical Service (EMS) Management.- Health Informatics.- OR applications in pharmaceutical supply chain management.- A Categorical DEA Framework for Evaluating Medical Tourism Efficiency of “Top Destinations”.- Part 8: Health Care Management.- Health Care Human Resource Planning.- Lean Health Care.- Procurement management in Health Care systems.

Über Autor(innen)

Prof. Kahraman is a full professor at Istanbul Technical University. His research areas are engineering economics, quality management, statistical decision making, multicriteria decision making, and fuzzy decision making. He published more than 200 journal papers, about 150 conference papers, and 80 book chapters. He guest-edited some issues of many international journals. He is the editor of many international books from Springer and Atlantis Press. He is the member of editorial boards of 20 international journals. He was the vice dean of ITU Management Faculty between 2004-2007 and the head of ITU Industrial Engineering Department between 2010-2013.

Y. Ilker Topcu is a Professor of Decision Sciences at Industrial Engineering Department of Istanbul Technical University (ITU) Management Faculty. He completed his Ph.D. studies in Engineering Management (2000) at ITU and visited Leeds University Business School during these studies (1998-1999). Professor Topcu’s research interests include multiple criteria decision making, decision analysis, operations research/management science. He is executive committee member of International Society of Multiple Criteria Decision Making. He has published in several journals.