"As the market for Intelligent System technologies continue to grow in healthcare systems, this book recognizes the nature and manifestation of this environment, and develops a corresponding pathway to holistic Intelligent Computing methodology that helps to serve the healthcare system and increase the effectiveness as well as efficiency of health care providers"--

Advances in healthcare technologies have offered real-time guidance and technical assistance for diagnosis, monitoring, operation, and interventions. The development of artificial intelligence, machine learning, internet of things technology, and smart computing techniques are crucial in today’s healthcare environment as they provide frictionless and transparent financial transactions and improve the overall healthcare experience. This, in turn, has far-reaching effects on economic, psychological, educational, and organizational improvements in the way we work, teach, learn, and provide care. These advances must be studied further in order to ensure they are adapted and utilized appropriately. The Handbook of Research on Mathematical Modeling for Smart Healthcare Systems presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling for healthcare systems. Furthermore, it presents the application of innovative techniques to complex problems in the case of healthcare. Covering a range of topics such as artificial intelligence, deep learning, and personalized healthcare services, this reference work is crucial for engineers, healthcare professionals, researchers, academicians, scholars, practitioners, instructors, and students.

"As the market for Intelligent System technologies continue to grow in healthcare systems, this book recognizes the nature and manifestation of this environment, and develops a corresponding pathway to holistic Intelligent Computing methodology that helps to serve the healthcare system and increase the effectiveness as well as efficiency of health care providers"--

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Over the years, the complexity of health systems has grown due to the continuous and constant introduction of new technologies—process, production, and organizational—which have increased the number of stakeholders involved, creating new relationships and new channels through which the various subjects interact. It is necessary to highlight the critical issues and opportunities relating to the innovation of the organization and governance of health services as well as the complementarity of management and leadership. The new health needs require a Copernican revolution in the organization of services: not only offering individual services but also effective permanent care of the patient within institutional and professional assistance networks and effective, efficient, and appropriate pathways. This requires that on an organizational and managerial level, the internal relationships between the branches of the healthcare companies must be reviewed and closer relationships built with the managing bodies of the social and welfare services. The Handbook of Research on Complexities, Management, and Governance in Healthcare proceeds with a reasoned reconstruction of healthcare issues through the problems connected to the complexities, management, and governance in healthcare in light of the recent COVID-19 pandemic. It discusses both the ethical side of health and the economic, organizational, and legal content. Covering topics such as healthcare innovation, taxation for public health, and waste disposal, this major reference work is a comprehensive resource for healthcare administration, directors, executive boards, lawyers, sociologists, government officials and policymakers, students and faculty of higher education, libraries, researchers, and academicians.

There has been an increased use of technology in educational settings since the start of the COVID-19 pandemic. Despite the benefits of including such technologies to support education, there is still the need for vigilance to counter the inherent risk that comes with the use of such technologies as the protection of students and their information is paramount to the effective deployment of any technology in education. The Handbook of Research on Current Trends in Cybersecurity and Educational Technology explores the full spectrum of cybersecurity and educational technology today and brings awareness to the recent developments and use cases for emergent educational technology. Covering key topics such as artificial intelligence, gamification, robotics, and online learning, this premier reference source is ideal for computer scientists, industry professionals, policymakers, administrators, researchers, academicians, scholars, practitioners, instructors, and students.

Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.