Disruption often drives innovation, and 2020 was certainly an extraordinary year for all health professionals. Not only did it stretch individual providers and healthcare systems to their limits, it highlighted the urgent and rapid need to mobilize digital health technology, as well as pressure-testing digital health in ways and under timeframes not previously imagined. Many saw the rapid deployment and uptake of telehealth services, partly out of necessity to maintain continuity of care, but also to ensure that those who needed healthcare were still able to access it no matter what their situation or location. This book presents 17 selected papers from the Australian Health Informatics Conference (HIC 2020) – Healthier Lives, Digitally Enabled, held online from 5 – 25 November 2020. This annual conference usually marks the coming together of the nation’s digital health community to discuss, share and showcase current and future initiatives that support the progression of digital health, but in 2020, it took the form of satellite events, culminating with an online Digital Health Institute Summit. The papers presented here reflect highly topical themes across various areas and disciplines, including: digital health in the care of the elderly, mental health, COVID-19, public health, and workforce. Familiar topics, such as wearables, mobile health and remote monitoring, interoperability, and data privacy are also covered, as well as telehealth, automation, bots, and other AI applications. The book will be of interest to all health professionals, especially those working in the fields of digital health informatics and telemedicine.

Disruption often drives innovation, and 2020 was certainly an extraordinary year for all health professionals. Not only did it stretch individual providers and healthcare systems to their limits, it highlighted the urgent and rapid need to mobilize digital health technology, as well as pressure-testing digital health in ways and under timeframes not previously imagined. Many saw the rapid deployment and uptake of telehealth services, partly out of necessity to maintain continuity of care, but also to ensure that those who needed healthcare were still able to access it no matter what their situation or location. This book presents 17 selected papers from the Australian Health Informatics Conference (HIC 2020) - Healthier Lives, Digitally Enabled, held online from 5 - 25 November 2020. This annual conference usually marks the coming together of the nation's digital health community to discuss, share and showcase current and future initiatives that support the progression of digital health, but in 2020, it took the form of satellite events, culminating with an online Digital Health Institute Summit. The papers presented here reflect highly topical themes across various areas and disciplines, including: digital health in the care of the elderly, mental health, COVID-19, public health, and workforce. Familiar topics, such as wearables, mobile health and remote monitoring, interoperability, and data privacy are also covered, as well as telehealth, automation, bots, and other AI applications. The book will be of interest to all health professionals, especially those working in the fields of digital health informatics and telemedicine.

Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO's global strategy for digital health. The book explains different perspectives and local environments for digital health implementation, including data/information and technology governance, secondary data use, need for effective data interpretation, costly adverse events, models of care, HR management, workforce planning, system connectivity, data sharing and linking, small and big data, change management, and future vision. All proposed solutions are based on real-world scientific, social, and political evidence. - Provides a roadmap, based on examples already in place, to develop and implement digital health systems on a large-scale that are easily reproducible in different environments - Addresses World Health Organization (WHO)-identified research gaps associated with the feasibility and effectiveness of various digital health interventions - Helps readers improve future decision-making within a digital environment by detailing insights into the complexities of the health system - Presents evidence from real-world case studies from multiple countries to discuss new skills that suit new paradigms

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

This book highlights the latest advances on the implementation and adaptation of blockchain technologies in real-world scientific, biomedical, and data applications. It presents rapid advancements in life sciences research and development by applying the unique capabilities inherent in distributed ledger technologies. The book unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement used to unlock opportunities to advance life sciences research. This paradigm shift is explored from the perspectives of pharmaceutical professionals, biotechnology start-ups, regulatory agencies, ethical review boards, and blockchain developers. This book enlightens readers about the opportunities to empower and enable data in life sciences.

New developments in machine learning (ML) and artificial intelligence (AI) hold great promise to revolutionize mental health care. In this context, ML and AI have been deployed for several different goals, including 1) the early detection of mental disorders, 2) the optimization of personalized treatments based on the individual characteristics of patients, 3) the better characterization of disorders detrimental to mental well-being and quality of life, as well as a better description of projected trajectories over time, and 4) the development of new treatments for mental health care. Despite their great potential to transform mental health care and occasional breakthroughs, ML and AI have not yet fully achieved these goals. This research topic aims to bridge the gap between the potential uses of ML and AI and their practical application in standard mental health care. More specifically, we welcome original research submissions applying ML and AI to promote public health by reducing the burden of chronic disorders with detrimental effects on well-being (e.g., psychopathological distress), and improving quality of life. We also welcome submissions applying ML and AI in heterogeneous datasets (e.g., subjective scales and questionnaires, biomarkers, (neuro)psychological assessments, etc.) from Big Data sources (e.g., large datasets of clinical populations, electronic health records from nationally representative cohorts, and/or biobanks, studies using experiencing sampling methods, etc.) to gain mechanistic insight on how different chronic conditions associated with psychopathological distress can affect patient well-being and quality of life. Finally, we also welcome opinion papers and reviews on how to develop AI applications in mental health care responsibly, while integrating biopsychosocial aspects of patients to promote better mental health care.

Sustainable Life Insurance: Managing Risk Appetite for Insurance Savings and Retirement Products gives an overview of all relevant aspects of traditional and non-traditional savings and retirement products from both insurers’ and policyholders’ respective risk appetites. Examples of such products include general accounts, whole life, annuities (variable, fixed and fixed indexed, structured), index-linked products, CPPI-based products, etc. The book contains technical details associated with both practice and theory, specifically related to modelling, product design, investments and risk management challenges and solutions, tailored to both insurers’ and policyholders’ perspectives. Features The book offers not only theoretical background but also concrete, cutting-edge "quick wins" across strategic and operational business axes. It will be an asset for professionals in the insurance industry, and a great teaching/learning resource for courses in risk management, insurance modelling, and more. The book highlights the operational challenges encountered across modelling, product designs and hedging.

This book uses a multidisciplinary approach to examine the relationship between the quality of domestic life and the home environment, in its material and relational dimension, with individual and social happiness, in the context of current changes. The theme of happiness and well-being is framed within two significant changes, themselves affected by the recent COVID-19 pandemic: the relationship between the individual’s quality of life and engagement within the community, and the role of new technologies in everyday life. The authors highlight the relational nature of happiness and the centrality of the home environment in its promotion. Three dimensions of psychosocial well-being in the home are analysed: the personal one, consisting of a sense of stability, intimacy and sharing; the social one, which considers the domestic environment as a place for civic education and, in times of pandemic, the site of professional activity and the physical one, consisting of spaces, services and architectural styles. This book is ideal for readers who wish to cross disciplinary boundaries and explore the topic of domestic happiness in its different facets. The target audience is both professional researchers and advanced graduate and undergraduate students. Chapter 12 of this book is now OA on www.taylorfrancis.com under Creative Commons licens CC-BY-NC-ND 4.0.

The Global Innovation Index 2019 provides detailed metrics about the innovation performance of 129 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The GII 2019 analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. Chapters of the report provide more details on this year’s theme from academic, business, and particular country perspectives from leading experts and decision makers.

Over half the deaths from disease in the world are now due to just four chronic conditions – diabetes, lung diseases, some cancers and heart disease. Health and education are inextricably linked. Developing and delivering effective, scalable and sustainable education programs which lead to real behavioral change would influence some of the common risk factors for these diseases, such as smoking, poor diet and lack of physical activity. This book contains selected papers from the St. Jude Cure4Kids Global Summit, held in June, 2011 at St. Jude Children's Research Hospital in Memphis, Tennessee, USA. The aim of this three-day conference was to improve health and science education in classrooms and communities around the world. Leading educators, innovators and pioneers in the field of public health came together in a multidisciplinary forum to explore examples of successful education programs, analyze the challenges in designing effective, scalable and cost-efficient public health education programs and identify strategies, methodologies and incentives for developing future programs capable of yielding large-scale improvements in health outcomes for diverse communities. The papers presented here provide a foundation in the key topics necessary to create future innovative health promotion programs, and will be of interest to all those whose work involves improving health outcomes by means of better and more effective health education.