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Innovative Healthcare Systems for the 21st Century

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  • © 2017

Overview

  • Provides comprehensive frameworks, models, and integrative solutions for healthcare management
  • Examines successful innovative and integrative solutions in today's complex healthcare systems
  • Includes methods, techniques, and perspectives for building better healthcare systems through the creative usage of evidence-based decision making
  • Features "managerial insights" describing new and innovative solutions to delivering efficient, effective, and affordable healthcare
  • Includes supplementary material: sn.pub/extras

Part of the book series: Understanding Complex Systems (UCS)

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Table of contents (13 chapters)

  1. Introduction to Innovative Healthcare Systems for the Twenty-First Century

  2. Theoretical Approaches and Frameworks for Healthcare Systems

  3. Modeling and Simulation in Service of Healthcare Systems

  4. Future Research Directions in Innovative Healthcare Systems

Keywords

About this book

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.

Editors and Affiliations

  • School of Administrative Studies, York University, Toronto, Canada

    Hassan Qudrat-Ullah

  • School of Health Policy and Mangement & School of Administrative Studies, York University, Toronto, Canada

    Peter Tsasis

About the editors

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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