Society 5 0 And Next Generation Healthcare

This book analyses the ability of technological advancements to represent, enhance, and empower multidisciplinarity in the context of Society 5.0. and next generation medicine. New technologies allow patients to communicate with medical personnel anytime, anywhere and shape the terrain of healthcare ecosystem at an unprecedented rate. Five main trends become apparent in this process: Hybrid care models combining virtual and in-person services, digitization of healthcare specialties, increased Artificial intelligence (AI) adoption, health systems moving to the cloud and advanced precision medicine. In its chapters the book dissects the important roles for technologies in areas such as digital twinning, big data, Internet of Things, AI, cyber-physical systems, blockchain technology to lead the healthcare digitalization envisioned in Society 5.0. Throughout the book the authors discuss how to incorporate these new technologies legally, ethically, safely, and securely and in keeping with the highest standards of human rights. It also advocates for the need for careful oversight and mindful allocation of resources and energy for sustainable development. This book, written by experts in the field from academia and industry, will appeal to researchers, healthcare professionals, policy makers, teachers and students interested in the ways healthcare is reorganized based on digital transformation efforts and the rethinking of care, including technologies.

The Fourth industrial Revolution (4IR) is forcing higher education (HE) into a new era where it must either actively and positively contribute to innovation, sustainability, and development or become obsolete and redundant. HE must leave its ivory tower and forge links and partnerships with society, industry, and governing bodies by delivering graduates that are holistically educated and trained to bring positive innovation and change and to address the challenges that humanity is facing in the 21st century.

Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making. Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of computing techniques used for knowledge management in the field of healthcare in the futuristic perspective of having a human-centric society 5.0. The book includes topics related to the use of technologies like artificial intelligence, machine learning, deep learning, Internet of Things, blockchain, and sensors for effective healthcare and management. Case studies are included for easy comprehension and the book covers the most up-to-date research in the field. The use of techniques like artificial intelligence in the field of knowledge management is also discussed. This book is intended for researchers and academicians to explore new ideas, techniques, and tools. Researchers working in interdisciplinary research can also find many interesting topics which will pave the way for a new arena in healthcare and knowledge management.

"Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making. Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of computing techniques also used for knowledge management in the field of healthcare in the futuristic perspective of having a human-centric society 5.0. The book includes topics related to the use of technologies like Artificial Intelligence, Machine Learning, Deep Learning, IoT, Blockchain, and sensors for effective healthcare and management. Case studies are included for easy comprehension and the book covers the most up-to-date research in the field. The use of techniques like Artificial Intelligence in the field of knowledge management is also discussed. This book is intended for researchers and academicians to explore new ideas, techniques, and tools. Researchers working in interdisciplinary research can also find many interesting topics which will pave way for a new arena in healthcare and knowledge management"--

Health is regarded as one of the global challenges for mankind. Healthcare is a complex system that covers processes of diagnosis, treatment, and prevention of diseases. It constitutes a fundamental pillar of the modern society. Modern healthcare is technological healthcare. Technology is everywhere. This book focuses on twenty-one emerging technologies in the healthcare industry. An emerging technology is one that holds the promise of creating a new economic engine and is trans-industrial. Emerging technological trends are rapidly transforming businesses in general and healthcare in particular in ways that we find hard to imagine. Artificial intelligence (AI), machine learning, robots, blockchain, cloud computing, Internet of things (IoT), and augmented & virtual reality are some of the technologies at the heart of this revolution and are covered in this book. The convergence of these technologies is upon us and will have a huge impact on the patient experience

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

We live in a society driven by rapid and unpredictable changes. The concept of the “fourth industrial revolution” was introduced less than ten years ago - the more aware and reality oriented “smart factories”. By this we mean novelties in production technologies, enabling IT services and greater attention to energy consumption. Today, we are discussing the fifth stage in the evolution of society, the advent of the 5.0 company. This book outlines strategic lines and suggests future directions for the development of the "super smart society" which takes responsibility and ensures sustainability by adhering to new smart technologies and skills. The book is intended for a broad audience working in the fields of material science and engineering, energy, environment, etc. It is an invaluable reference source for researchers, academicians, students, industrial institutions, government and independent institutes, individual research groups and scientists working in the field of industrial applications of smart manufacturing design.

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.