Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare, 1st Edition, is an excellent compilation of current and advanced Multi-Criteria Decision Making (MCDM) techniques and their applications to multiple recent and innovative healthcare analytics problems. The healthcare business has expanded rapidly in recent years, and one of the top priorities in the sector is now the efficacy and efficiency of the various healthcare delivery systems. The entire performance of hospitals must be improved if the healthcare business wants to see an improvement in both the satisfaction and safety of their patients. Finding the best medical facility among many of its competitors may be difficult since there are so many, and they are so highly diverse in terms of features and performance trade-offs. This book will be the first in the literature to bridge the Industrial Engineering perspectives and Computational Intelligence (CI) for different digitalized (aka, smart) environments.
Cloud computing for electronic health (e-health) is a cutting-edge technology that has the potential to transform the healthcare sector completely. Cloud computing offers a multitude of benefits, including high speeds, flexibility, scalability, rapid deployment, resource sharing, energy savings, and cost- effective infrastructure, all of which have the potential to impact day-to-day living significantly. Most medical organizations are in the ideation stages of cloud computing services. Transitioning from traditional service models to cloud computing models is difficult for the healthcare sector.
This book has brought together the introductory discussions, fundamental concepts, challenges, and insights of multiple advanced healthcare management problems along with the application of MCDM to obtain the best option among multiple alternatives. A few important takeaways from this book are:
Developing an efficient model for supplier performance evaluation and selection in healthcare industries with incomplete information
A computational reliance approach for assessing healthcare service quality aspects and their measurement in an uncertain environment
An efficient and provable approach for recommending suitable mobile healthcare products under uncertain environments
Establishing a decision-making strategy to select healthcare waste treatment methods
Assessing the usability of mHealth applications in practice related to type 2 diabetes
The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable MCDM technique when making decisions to prioritize the selection criteria of any healthcare-related problems to ensure a sustainable practice.
Author(s): Mohamed Abdel-Basset, Ripon Kumar Chakrabortty, Abduallah Gamal
Publisher: CRC Press
Year: 2023
Language: English
Pages: 275
Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
About the Authors
1 Developing an Efficient Model for Supplier Performance Evaluation and Selection in Healthcare Industries With Incomplete …
1.1 Introduction
1.2 Preliminaries
1.3 Utilized Soft Computing Model
1.3.1 DEMATEL Method
1.3.2 VIKOR Method
1.3.3 Steps of the Approach Used
1.4 Illustrative Example
1.4.1 An Analysis of a Case Involving a Healthcare Organization
1.5 Results and Discussion
1.6 Summary
1.7 Exercises
References
2 A Consolidated Strategy for Analyzing and Ranking Smart Healthcare Management Portfolios in a Resource-Restricted …
2.1 Introduction
2.2 MCDM Materials and Methods
2.2.1 The ANP Method
2.2.2 The SAW Method
2.2.3 The Hybrid Approach
System 1: Medical Administrative Information System (MAIS)
System 2: Medical Operation Management System (MOMS)
System 3: Medical Device and Drug Management System (MDMS)
System 4: Medical Data Informational System (MDIS)
2.3 The Application of MCDM Techniques and Ranking Methodologies
2.4 Results and Discussion
2.5 Summary
2.6 Exercises
References
3 A Computational Reliance Approach for Assessing Healthcare Service Quality Aspects and Their Measurement in an Uncertain …
3.1 Introduction
3.2 Methodology
3.2.1 Entropy Method
3.2.2 MOORA Method
3.2.3 Computational Steps of the Utilized Approach
3.3 Application of the Evaluation Approach
3.4 Discussions
3.5 Summary
3.6 Exercises
References
4 An Efficient and Provable Approach for Recommending Suitable Mobile Healthcare Products Under Uncertain Environments
4.1 Introduction
4.2 Materials and Methods
4.2.1 The AHP Method
4.2.2 The SMART Method
4.2.3 A Hybrid MCDM Approach Combining AHP and SMART
4.3 Result Analysis
4.3.1 Problem Explanation
4.3.2 Problem Solution
4.4 Discussions
4.5 Summary
4.6 Exercises
References
5 Establishing a Decision-Making Strategy to Select Healthcare Waste Treatment Methods
5.1 Introduction
5.2 Research Methodology
5.2.1 The DEMATEL Method
5.2.2 The CRADIS Method
5.2.3 A Hybrid MCDM Approach Combining DEMATEL and CRADIS
5.3 Case Study
5.3.1 Problem Description
5.3.2 Implementation of the Utilized Approach
5.4 Discussions
5.5 Summary
5.6 Exercises
References
6 Assessing the Usability of MHealth Applications in Practice Related to Type 2 Diabetes Mellitus
6.1 Introduction
6.2 Methods
6.2.1 The CRITIC Method
6.2.2 The ARAS Method
6.2.3 The Hybrid CRITIC-ARAS Approach
6.3 Case Study
6.3.1 Problem Explanation
6.3.2 The Application of the Hybrid CRITIC-ARAS Approach
6.4 Discussion
6.5 Summary
6.6 Exercises
References
7 Multi-Criteria Decision-Making Model to Assess Cloud Computing Adoption in the Medical and Healthcare Sector
7.1 Introduction
7.2 Research Method
7.2.1 The Entropy Method
7.2.2 The PROMETHEE II Method
7.2.3 Hybrid Approach
7.3 Results and Analysis
7.4 Discussion
7.5 Summary
7.6 Exercises
References
8 An Optimized Neutrosophic Multi-Criteria Decision-Support System for Medical Device Selection in the Healthcare Industry
8.1 Introduction
8.2 Materials and Methods
8.2.1 The CRITIC Method
8.2.2 The COPRAS Method
8.2.3 The Hybrid CRITIC-COPRAS Approach
8.3 Numerical Experiment
8.3.1 Case Study
8.3.2 The Application of Materials and Methods
8.4 Discussion
8.5 Summary
8.6 Exercises
References
Index
