This book offers a timely review of modern technologies for health, with a special emphasis on wireless and wearable technologies, GIS tools and machine learning methods for managing the impacts of pandemics. It describes new strategies for forecasting evolution of pandemics, optimizing contract tracing, and for detection and diagnosis of diseases, among others. Written by researchers and professionals with different backgrounds, this book offers a extensive information and a source of inspiration for physiologists, engineers, IT scientists and policy makers in the health and technology sector.
ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics. In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics. In this book, the reader will find: State-of-the-art technological advancements in pandemic management; AI and ML-based identification and forecasting of pandemic spread; Smart IoT-based ecosystem for pandemic scenario. Audience The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.
Despite the technological advances accompanying growing globalization, the surprise of the COVID-19 pandemic changed the lives of everyone across the world. The responses were unpredictable and the consequences incalculable. Economic, social, and health inheritances in the short, medium, and long term are expected to be very serious. The challenges posed to governance in the various sectors of activity can be unique opportunities for future results. The importance of disseminating studies and academic discussions on the subject from a multidisciplinary perspective—economics, management, law, sociology, psychology, education, and communication—is emerging and can contribute to better governance policies. Multidisciplinary Approaches to Organizational Governance During Health Crises presents new structural and functional models for effective adaptation to global recovery. It explores trends in governance models, presents the current state of governance, and examines governance issues, challenges, and opportunities. Covering topics such as consumer perspectives, legal studies, and public sector procurement digitalization, this premier reference source is an excellent resource for economists, entrepreneurs, consultants, policymakers, students and educators of higher education, librarians, researchers, and academicians.
The COVID-19 pandemic has affected individuals and caused destabilization of households and business activities. In emerging economies, many sectors and companies, especially small and medium enterprises (SMEs), are severely influenced by the reduction or cessation of economic activity. Overcoming the COVID-19 virus and allowing the world to heal will allow the economy to grow more resilient. First, however, we must understand that old managerial practices can no longer generate competitive advantage in the post-pandemic world. Public Health and Economic Resiliency in the Post-COVID-19 Era presents epidemiological studies of the COVID-19 pandemic, identifies the impacts it has on human health, and analyzes the impacts on public health and economy. This management tool also discusses the socio-economic human vulnerability related to the COVID-19 pandemic. Covering topics such as risk analysis, quality management systems, and therapeutic systems, this book is a dynamic resource for academic researchers and investigators, university professors, students, epidemiologists, health professionals, economists, managers, sociologists, physicians, policymakers, government officials, and academicians.
Health IT is a major field of investment in support of healthcare delivery, but patients and professionals tend to have systems imposed upon them by organizational policy or as a result of even higher policy decision. And, while many health IT systems are efficient and welcomed by their users, and are essential to modern healthcare, this is not the case for all. Unfortunately, some systems cause user frustration and result in inefficiency in use, and a few are known to have inconvenienced patients or even caused harm, including the occasional death. This book seeks to answer the need for better understanding of the importance of robust evidence to support health IT and to optimize investment in it; to give insight into health IT evidence and evaluation as its primary source; and to promote health informatics as an underpinning science demonstrating the same ethical rigour and proof of net benefit as is expected of other applied health technologies. The book is divided into three parts: the context and importance of evidence-based health informatics; methodological considerations of health IT evaluation as the source of evidence; and ensuring the relevance and application of evidence. A number of cross cutting themes emerge in each of these sections. This book seeks to inform the reader on the wide range of knowledge available, and the appropriateness of its use according to the circumstances. It is aimed at a wide readership and will be of interest to health policymakers, clinicians, health informaticians, the academic health informatics community, members of patient and policy organisations, and members of the vendor industry.
The leading reference in the field of geriatric care, Brocklehurst's Textbook of Geriatric Medicine and Gerontology, 8th Edition, provides a contemporary, global perspective on topics of importance to today's gerontologists, internal medicine physicians, and family doctors. An increased focus on frailty, along with coverage of key issues in gerontology, disease-specific geriatrics, and complex syndromes specific to the elderly, makes this 8th Edition the reference you'll turn to in order to meet the unique challenges posed by this growing patient population. - Consistent discussions of clinical manifestations, diagnosis, prevention, treatment, and more make reference quick and easy. - More than 250 figures, including algorithms, photographs, and tables, complement the text and help you find what you need on a given condition. - Clinical relevance of the latest scientific findings helps you easily apply the material to everyday practice. - A new chapter on frailty, plus an emphasis on frailty throughout the book, addresses the complex medical and social issues that affect care, and the specific knowledge and skills essential for meeting your patients' complex needs. - New content brings you up to date with information on gerontechnology, emergency and pre-hospital care, HIV and aging, intensive treatment of older adults, telemedicine, the built environment, and transcultural geriatrics. - New editor Professor John Young brings a fresh perspective and unique expertise to this edition.
The first complete guide to the rapidly expanding field of telehealth From email to videoconferencing, telehealth puts real-time healthcare solutions at patients’ and clinicians’ fingertips. Every year, the field continues to evolve, enhancing access to healthcare, supporting clinicians, and improving the patient experience. However, since telehealth is in its infancy, no text has offered a comprehensive, definitive survey of this up-and-coming field—until now. Written by past presidents of the American Telemedicine Association, Understanding Telehealth explains how clinical applications leveraging telehealth technology are optimizing healthcare delivery. In addition, this timely resource examines the bedrock principles of telehealth and highlights the safety standards involved in the diagnosis and treatment of patients through digital communications. Logically organized and supported by high-yield clinical vignettes, the book begins with essential background information, including a look at telehealth history, definitions and roles, and rural health. It then provides an overview of clinical services for adults, from telestroke to telepsychiatry. The third section addresses pediatric clinical services, encompassing pediatric emergency and critical care, telecardiology, and more. A groundbreaking resource: •Chapters cover a broad spectrum of technologies, evidence-based guidelines, and application of telehealth across the healthcare continuum •Ideal for medical staff, public healthcare executives, hospitals, clinics, payors, healthcare advocates, and researchers alike •Incisive coverage of the legal and regulatory environment underpinning telehealth practice
This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.
This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.
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
