Digital Transformation In Healthcare 5 0

Digital technologies are currently dramatically changing healthcare. This book introduces the reader to the latest digital innovations in healthcare in fields such as artificial intelligence, points out new ways in patient care and describes the limits of its application. It also offers essential guidance in the form of structured and authoritative contributions by domain experts spanning from artificial intelligence to hospital management to radiology to dentistry to preventive medicine. Furthermore, it shares ideas and experiences of industry veterans, in particular on how IT-driven solutions could solve long-standing issues in the fields of healthcare and hospitalization. It also gives advice on what new digital technologies to consider for becoming a healthcare market leader in the future. Taken together, these contributions provide a “road map” to guide decision makers, physicians, academics, industry representatives and other interested readers to understand the large impact of digital technology on healthcare today and its enormous potential for future development.

This book is a reference guide for healthcare executives and technology providers involved in the ongoing digital transformation of the healthcare sector. The book focuses specifically on the challenges and opportunities for health systems in their journey toward a digital future. It draws from proprietary research and public information, along with interviews with over one hundred and fifty executives in leading health systems such as Cleveland Clinic, Partners, Mayo, Kaiser, and Intermountain as well as numerous technology and retail providers. The authors explore the important role of technology and that of EHR systems, digital health innovators, and big tech firms in the ongoing digital transformation of healthcare. Importantly, the book draws on the accelerated learnings of the healthcare sector during the COVID-19 pandemic in their digital transformation efforts to adopt telehealth and virtual care models. Features of this book: Provides an understanding of the current state of digital transformation and the factors influencing the ongoing transformation of the healthcare sector. Includes interviews with executives from leading health systems. Describes the important role of emerging technologies; EHR systems, digital health innovators, and more. Includes case studies from innovative health organizations. Provides a set of templates and frameworks for developing and implementing a digital roadmap. Based on best practices from real-life examples, the book is a guidebook that provides a set of templates and frameworks for digital transformation practitioners in healthcare.

"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images.

Health 4.0 is a term that has derived from the Fourth Industrial Revolution (Industry 4.0), as it pertains to the healthcare industry. This book offers a novel, concise, but at the same time, broad picture of the challenges that the technological revolution has created for the healthcare system. It offers a comprehensive view of health sector actors’ interaction with the emerging new technology, which is disrupting the status quo in health service delivery. It explains how these technological developments impact both society and healthcare governance. Further, the book addresses issues related to key healthcare system stakeholders: the state, patients, medical professionals, and non-governmental organizations. It also examines areas of healthcare system adaptiveness and draws its conclusions by analysing recent health policy changes in different countries across the Americas, Europe, and Asia. The authors offer an innovative approach to the subject by identifying the critical determinants of successful implementation of the Fourth Industrial Revolution’s outcomes in practice, on both a macro- and microlevel. The macrolevel analysis is focused on essential factors of healthcare system adaptiveness for Health 4.0, while the microlevel relates to patients’ expectations with a particular emphasis on senior citizens. The book will appeal to academics, researchers, and students, across a wide range of disciplines, such as health economics, health sciences, public policy, public administration, political science, public governance, and sociology. It will also find an audience among healthcare professionals and health and social policymakers due to its recommendations for implementing Industry 4.0 into a healthcare system.

Active Learning for Digital Transformation in Healthcare Education, Training and Research discusses the potential of advanced training of health professionals as a contributing factor to improve treatment outcomes. By reading this book, professionals who deal with patients with low health literacy will be prepared to promote better access to digital tools, understand the habits of users of health services, and empower engagement. The book contains a set of techniques and instruments associated with health literacy, communication skills and personal development that will enable their application in good daily practices and assist healthcare professionals to promote digital transformation to patients. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about how they can be an effective agent of change in healthcare. Discusses the potential of patient education through the training of health professionals to improve patient engagement and adherence to treatment Presents techniques from real-world examples to demonstrate the efficacy of better communication between health professionals and patients, especially in the digital medicine era Outlines digital tools that can be used to strengthen the healthcare professional-patient relationship

This book examines how the digital revolution has reorganized the model of healthcare during the COVID-19 pandemic and argues for a continued paradigm shift to digital healthcare. Katarzyna Kolasa sets the vision of healthcare 5.0 that relieves the burden on limited healthcare resources and creates better health outcomes by switching the focus from treatment to prediction and prevention. She advocates for a patient-centric ecosystem that empowers patients to take control of their health via new knowledge-based technologies such as next-generation sequencing (NGS), nanotechnology, artificial intelligence and digital therapeutics. Highlighting the mindset shift needed to transform healthcare and outlining in detail a futuristic vision of healthcare 5.0, this book will be of interest to academics and professionals of health policy, health economics and digital health.

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

Focusing on so-far unresolved questions about this new horizon of modernity, Two Faces of Digital Transformation provides insights into technological advancements with business administrative applications and examines forthcoming implementation strategies from a range of perspectives.