Overview
- Highlights recent research focusing on emergency department operations
- Develops a highly sensitive assessment tool for simulation experiments
- Based on the patient’s perspective
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 297)
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Table of contents (5 chapters)
Keywords
About this book
This book presents a systematic review of research concerning processes and systems in Emergency Departments (EDs), the issues faced by EDs, and their solutions to ensure the delivery of proper and ideal healthcare services for patients through superior quality process management. The book evaluates two decades of data, from 2000 to 2019, in order to examine the processes used in ED operations.
Emergency Department has become evident particularly in the current scenario when the world is in the grip of the deadly COVID-19. The two decades of data revealed a lack of literary content on bringing improvement for EDs in Malaysia and Saudi Arabia through the deployment of simulation models. Simulation model in Malaysia and Saudi Arabia is being considered for the first time by this book.
Authors and Affiliations
Bibliographic Information
Book Title: Operational Management in Emergency Healthcare
Authors: Salman Ben Zayed, Abdullah Bin Gani, Hesham Fathy Gadelrab, Mohd Khalit Bin Othman
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-53832-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-53831-6Published: 22 October 2020
Softcover ISBN: 978-3-030-53834-7Published: 23 October 2021
eBook ISBN: 978-3-030-53832-3Published: 21 October 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXIV, 179
Number of Illustrations: 9 b/w illustrations, 44 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Computational Intelligence, Health Informatics