Overview
- Presents the most recent systems engineering and mathematical tools for health care and its applications
- Shows and promotes the increased need for partnership between engineers and health care professionals
- State of the art contents from leaders in the field
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 74)
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Table of contents (8 chapters)
Keywords
About this book
This book presents some recent systems engineering and mathematical tools for health care along with their real-world applications by health care practitioners and engineers. Advanced approaches, tools, and algorithms used in operating room scheduling and patient flow are covered. State-of-the-art results from applications of data mining, business process modeling, and simulation in healthcare, together with optimization methods, form the core of the volume.
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Systems Analysis Tools for Better Health Care Delivery illustrates the increased need of partnership between engineers and health care professionals. This book will benefit researchers and practitioners in health care delivery institutions, staff members and professionals of specialized hospital units, and lecturers and graduate students in engineering, applied mathematics, business administration and health care.
Editors and Affiliations
Bibliographic Information
Book Title: Systems Analysis Tools for Better Health Care Delivery
Editors: Panos M. Pardalos, Pando G. Georgiev, Petraq Papajorgji, Britta Neugaard
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4614-5094-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5093-1Published: 03 January 2013
Softcover ISBN: 978-1-4899-9952-8Published: 01 July 2015
eBook ISBN: 978-1-4614-5094-8Published: 04 January 2013
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: IX, 178
Topics: Optimization, Operations Research, Management Science, Health Administration, Mathematical Modeling and Industrial Mathematics