Innovative Healthcare Systems for the 21st Century (Paperback, Softcover reprint of the original 1st ed. 2017)

This book presents the latest in decision-making tools, techniques, and solutions for policy makers to utilize in overcoming the challenges faced by healthcare systems. With contributions from experts world-wide, an array of healthcare management models, techniques, and integrative solutions are presented, drawing on econometric, system dynamics, and agent-based models as well as state-of-the-art empirical studies. As total healthcare spending (both total expenditures on health as a percentage of GDP and average spending on per capita) increases across most of the world's economies, healthcare systems continue to face challenges in terms of cost, quality, and access, as a result of its fragmented nature. Consequently, healthcare managers and policy makers require innovative integrative approaches and solutions to better manage complex, dynamic healthcare systems. This volume offers researchers and policy makers an insightful and critical review of the state of the art in healthcare modeling, with a particular focus on system dynamics, agent-based models, and modern empirical studies. It will be of interest to those in the fields of health, business management, and information systems.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Understanding Complex Systems
Release date:	August 2018
First published:	2017
Editors:	Hassan Qudrat-Ullah • Peter Tsasis
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	341
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-85743-5
Categories:	Books > Business & Economics > Economics > Political economy Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Medicine > General issues > Health systems & services > Hospital administration & management Promotions
LSN:	3-319-85743-6
Barcode:	9783319857435

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