Integrated care aims to address inequality through removing fragmented health and social care. It is being adopted worldwide, including in the UK, where the NHS is undergoing significant transformation as it introduces integrated care for all providers. This new book aims to equip students and practitioners to take the lead in this new model of care delivery. It will help them understand the key principles of integrated care and then apply these to the design, implementation and practice of integrated care in their own work. Written by academics and operational healthcare leaders, this book is ideal for final year students of nursing, allied health and social care, postgraduates, and all nursing and allied health professionals who will be required to work within the UK's new integrated care systems. - Comprehensive coverage of the design, implementation and practice of integrated care - Covers theory and concepts of integrated care as well as applicability to practice for individuals, organisations and systems - Presents a comprehensive and up-to-date evidence base for integrated care - Accessible to a range of practitioners - Wide range of case studies provide real-life examples of how integrated care has been applied in different areas - Contributions from academics across disciplines, including nursing, occupational therapy, social care and public health - Co-written with business partners, clinical leads or specialists within their field – reflects the realities of practice - Includes an international focus, with examples from countries which have a strong history in integrated care such as the Netherlands, New Zealand, USA and Finland

Integrated care aims to address inequality through removing fragmented health and social care. It is being adopted worldwide, including in the UK, where the NHS is undergoing significant transformation as it introduces integrated care for all providers. This new book aims to equip students and practitioners to take the lead in this new model of care delivery. It will help them understand the key principles of integrated care and then apply these to the design, implementation and practice of integrated care in their own work. Written by academics and operational healthcare leaders, this book is ideal for final year students of nursing, allied health and social care, postgraduates, and all nursing and allied health professionals who will be required to work within the UK's new integrated care systems. Comprehensive coverage of the design, implementation and practice of integrated care Covers theory and concepts of integrated care as well as applicability to practice for individuals, organisations and systems Presents a comprehensive and up-to-date evidence base for integrated care Accessible to a range of practitioners Wide range of case studies provide real-life examples of how integrated care has been applied in different areas Contributions from academics across disciplines, including nursing, occupational therapy, social care and public health Co-written with business partners, clinical leads or specialists within their field - reflects the realities of practice Includes an international focus, with examples from countries which have a strong history in integrated care such as the Netherlands, New Zealand, USA and Finland NA

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. - Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies - Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics - Unique case study approach provides readers with insights for practical clinical implementation

The management of COVID-19 is challenging due to the lack of clear information about the Sars-Cov2 and recommendations for specific treatment regimens. The scale of the pandemic has also exacerbated the situation, with health care systems under stress from the high volume of COVID-19 patients. In Demystifying COVID-19: Understanding the Disease, Its Diagnosis, and Treatment, medical experts explain many aspects about the COVID-19 pandemic, including guidelines to minimize risk of infection, diagnostic methods, treatment, real scenarios in the course of the disease and issues that need attention in specific patient groups. The book equips both general readers and healthcare professionals with key information required to understand COVID-19 and navigate a situation typical to a pandemic. Public health officials who wish to mobilize awareness campaigns for the benefit of the general public can also find value in the comprehensive information presented in this reference.

Demystifying consciousness: how subjective experience can be explained by natural brain and evolutionary processes. Consciousness is often considered a mystery. How can the seemingly immaterial experience of consciousness be explained by the material neurons of the brain? There seems to be an unbridgeable gap between understanding the brain as an objectively observed biological organ and accounting for the subjective experiences that come from the brain (and life processes). In this book, Todd Feinberg and Jon Mallatt attempt to demystify consciousness—to naturalize it, by explaining that the subjective, experiencing aspects of consciousness are created by natural brain processes that evolved in natural ways. Although subjective experience is unique in nature, they argue, it is not necessarily mysterious. We need not invoke the unknown or unknowable to explain its creation. Feinberg and Mallatt flesh out their theory of neurobiological naturalism (after John Searle's biological naturalism) that recognizes the many features that brains share with other living things, lists the neural features unique to conscious brains, and explains the subjective–objective barrier naturally. They investigate common neural features among the diverse groups of animals that have primary consciousness—the type of consciousness that experiences both sensations received from the world and affects such as emotions. They map the evolutionary development of consciousness and find an uninterrupted progression over time, without inserting any mysterious forces or exotic physics. Finally, bridging the previously unbridgeable, they show how subjective experience, although different from objective observation, can be naturally explained.

Nurses are critical in addressing the great health challenges we now face. For the first time, Global Health and Nursing provides an overview of global health issues specifically for nurses. Critical topics covered in this exciting new book include the social determinants of health, planetary health, globalisation and migration. It highlights the importance of investment in the nursing profession, the role of gender, and how nurses can find a global voice to become influential leaders as we rebuild health systems post-pandemic. Written by Dr Barbara Stilwell, one of the UK's most influential nurses and a champion for health workers and strong health systems, the book is suitable for all those interested in global health, including postgraduate nurses, nurse educators, practising nurses and nurses taking global health programmes. - Written by eminent British nurse, researcher and academic Dr Barbara Stilwell, with contributions from major players in global nursing - Covers a broad range of issues relevant to all those interested in global health, from the nurse's viewpoint - Explores the most critical issues facing world health today, including planetary health, decolonising nursing, nurse migration and nursing in emergencies - Focus on leadership and how to find a global voice - Real life case studies drawn from around the world – learn from your peers - Research-based findings on the effects of COVID on the nursing workforce - Closely linked to the work of the International Council of Nurses