Stochastic Modeling and Analytics in Healthcare Delivery Systems
eBook - ePub

Stochastic Modeling and Analytics in Healthcare Delivery Systems

  1. 324 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Stochastic Modeling and Analytics in Healthcare Delivery Systems

About this book

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In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and efficiency of these systems in order to achieve better patient outcome.

This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.

--> Contents:

  • Patient Appointment Scheduling (Joonyup Eun, Sangbok Lee and Yuehwern Yih)
  • A Simulation Model of French Emergency Medical Service (Aboueljinane Lina, Sahin Evren and Jemai Zied)
  • Modeling and Simulation of the Emergency Department of an Italian Hospital (Wanying Chen, Alain Guinet and Tao Wang)
  • Stochastic and Dynamic Programming for Improving the Reservation Process of MRI Examinations (Na Geng)
  • Simulation Modeling of Hospital Discharge Process (Zexian Zeng, Xiaolei Xie, Xiang Zhong, Barbara A Liegel, Sue Sanford-Ring and Jingshan Li)
  • Predictive Modeling of Care Demand and Transition (Xuxue Sun, Zhouyang Lou, Mingyang Li, Nan Kong and Pratik J Parikh)
  • A Multi-agent-based Simulation Model to Analyze Patients' Hospital Selection in Hierarchical Healthcare Systems (Jianpei Wen and Jie Song)
  • Forecasting Recipient Outcomes of Deceased Donor Livers (Rachel M Townsley, Maria E Mayorga, A Sidney Barritt IV and Eric Orman)
  • Internet of Hearts — Large-Scale Stochastic Network Modeling and Analysis of Cardiac Electrical Signals (Chen Kan and Hui Yang)
  • Using Agent-Based Interpersonal Influence Simulation to Study the Formation of Public Opinion (Yu Teng, Nan Kong and Torsten Reimer)
  • Growth Curves of American Children Differ Significantly from CDC Reference Standards (Xiang Zhong, Jingshan Li, Goutham Rao and K P Unnikrishnan)

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--> Readership: Researchers and healthcare practitioners in the field of healthcare delivery systems. -->
Keywords:Stochastic Model;Healthcare Delivery System;Data AnalyticsReview: Key Features:

  • Focuses on stochastic models and analytics in healthcare systems
  • Includes hospital case studies

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Yes, you can access Stochastic Modeling and Analytics in Healthcare Delivery Systems by Jingshan Li, Nan Kong;Xiaolei Xie;; in PDF and/or ePUB format, as well as other popular books in Médecine & Prestation de soins de santé. We have over one million books available in our catalogue for you to explore.

Information

Publisher
WSPC
Year
2017
eBook ISBN
9789813220867
Topic
Médecine
Subtopic
Prestation de soins de santé

Table of contents

  1. Cover page
  2. Title page
  3. Copyright
  4. Dedication
  5. Preface
  6. Contents
  7. Chapter 1 Patient Appointment Scheduling
  8. Chapter 2 A Simulation Model of French Emergency Medical Service
  9. Chapter 3 Modeling and Simulation of the Emergency Department of an Italian Hospital
  10. Chapter 4 Stochastic and Dynamic Programming for Improving the Reservation Process of MRI Examinations
  11. Chapter 5 Simulation Modeling of Hospital Discharge Process
  12. Chapter 6 Predictive Modeling of Care Demand and Transition
  13. Chapter 7 A Multi-agent-based Simulation Model to Analyze Patients’ Hospital Selection in Hierarchical Healthcare Systems
  14. Chapter 8 Forecasting Recipient Outcomes of Deceased Donor Livers
  15. Chapter 9 Internet of Hearts — Large-Scale Stochastic Network Modeling and Analysis of Cardiac Electrical Signals
  16. Chapter 10 Using Agent-Based Interpersonal Influence Simulation to Study the Formation of Public Opinion
  17. Chapter 11 Growth Curves of American Children Differ Significantly from CDC Reference Standards
  18. Index