Название: Multi-Criteria Decision Making Theory and Applications in Sustainable HealthcareАвтор: Mohamed Abdel-Basset, Ripon Kumar Chakrabortty, Abduallah Gamal
Издательство: CRC Press
Год: 2023
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 25.1 MB
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.
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