10% off all books and free delivery over £40 - Last Express Posting Date for Christmas: 20th December
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Advanced Decision Making Methods Applied to Health Care

View All Editions

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Advanced Decision Making Methods Applied to Health Care Synopsis

The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness.

About This Edition

ISBN: 9788847023208
Publication date: 20th March 2012
Author: Elena Tànfani, Angela Testi
Publisher: Springer an imprint of Springer Milan
Format: Hardback
Pagination: 236 pages
Series: International Series in Operations Research & Management Science
Genres: Political economy
Operational research
Probability and statistics
Medicine: general issues