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Advanced Decision Making Methods Applied to Health Care
     

Advanced Decision Making Methods Applied to Health Care

by Elena Tanfani (Editor), Angela Testi (Editor)
 

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

Overview

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.

Editorial Reviews

Doody's Review Service
Reviewer: Eric P Matthews, PhD, MSed, MA (A. T. Still University)
Description: This book is a collation of quantitative methodologies that focus on operational research, statistical and economic decision-making, and problems in the field of healthcare.
Purpose: The authors strive to deliver a book that collects extant issues in healthcare and focuses on practical problem-solving applications for these issues. The book meets this objective admirably.
Audience: In the authors' words, the book is written for an interdisciplinary and wide audience. Though the book is a quantitative text (and requires an understanding of those methods), it is meant to be a tool for any healthcare professionals to aid their problem-solving ability when faced with real-world workplace issues. The book meets its goal, but it certainly presumes an intrinsic understanding of quantitative methods.
Features: The book seeks to take acknowledged methods, such as simulation and optimization, and apply them in new ways to evolving healthcare delivery problems. It seeks to link method and theory in each case that it addresses, giving practitioners real-world examples of how to apply the quantitative methods it espouses. The book meets its goal, but there is an intrinsic fault in the assumption that readers have a base knowledge of these methodologies. A cursory overview of the background/foundation for the various methods may have been warranted.
Assessment: This is a well-written and comprehensive book that would complement any healthcare manager's (or evaluator's) reference library. Although not written at an introductory level, the book is easy to understand with only a cursory knowledge of quantitative methodologies.

Product Details

ISBN-13:
9788847023208
Publisher:
Springer Milan
Publication date:
04/22/2012
Series:
International Series in Operations Research & Management Science , #173
Edition description:
2012
Pages:
236
Product dimensions:
0.00(w) x 0.00(h) x 0.02(d)

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