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.

About the Author:

Peter Tsasis is an Associate Professor of Management at the School of Administrative Studies at York University, Canada. He is jointly appointed to the Faculty of Health and the Faculty of Liberal Arts and Professional Studies, and is a member of the Faculty of Graduate Studies.
Hassan Qudrat-Ullah is a member of the Springer Complexity Board. He is an Associate Professor at the School of Administrative Studies at York University, Canada. His research interests include dynamic decision making, system dynamics modeling, and energy planning models.

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