Digital healthcare is heterogeneous along the entire treatment pathway, ranging from monitoring applications and artificial-intelligence-based diagnostics, to support for virtual reality surgery. Since the introduction of the Digital Health Act in Germany in early 2020, there has been a push toward digital innovative solutions, especially in the outpatient sector. This book analyzes current digital health law from an economic perspective, combining theory with real-world applications. It examines both the incentives and market access pathways for digital solutions and the price effects brought about by the new regulatory framework in Germany. Further, it discusses the difficulties in pricing due to the monopolistic BfArM register and negotiations with the association of all German health insurance companies. The book addresses a wide range of topics, including incentives for innovation, specifics of digital health applications, reimbursement and financing options for digital health solutions. Lastly, it presents an outlook for the future and a comparison between Germany and other countries, namely the USA and Japan. Given its scope, this book will appeal to scholars of health economics, healthcare management and public health, as well as practitioners and professionals in the public health sector.

Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Shaping Digital Future provides insight to the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies. The book covers two important regions: Gulf Region (Bahrein, Kuwait, Oman, Qatar, and UAE) and Asia, and explores how these countries develop policies for healthy aging and how digital tools can serve these goals. This book delivers a collection of relevant, innovative research works on digital healthcare, with four main goals: (1) to cover two geographical regions (Asia and Gulf Region) with important advances in digital healthcare; (2) to present case studies in the field of IT and digital health during the pandemic and analyze the lessons from these studies; (3) to evaluate the latest advances in the field of digital healthcare (especially Artificial Intelligence [AI], Big Data, Blockchain, and 5G); and (4) to discuss implications for main stakeholders (patients, doctors, IT experts, directors, and policy managers) and recommendations for policy makers in these two regions and elsewhere. Delivers relevant case studies and experiences on digital healthcare from Asia and Gulf Region, covering important advances in digital healthcare Provides recommendations for policy makers in Asia, the Gulf Region, and around the world Discusses implications for main stakeholders (i.e., patients, doctors, IT experts, directors, and policy managers) and recommendations for policy makers in these two regions and elsewhere Investigates the interplay of several important research areas (e.g., digital healthcare, 5G, AI, Big Data, and Blockchain) with an emphasis on healthy aging

In the wake of the digital healthcare revolution, a critical challenge has emerged: the lack of a comprehensive understanding stemming from fragmented research. Despite the industry's meteoric rise, existing literature often compartmentalizes insights, neglecting the intricate multi-sector collaborations that fuel its progress. This gap hinders scholars and industry professionals, leaving them with a myopic view of the digital healthcare landscape. The urgent need for a holistic exploration has never been more apparent. Multi-Sector Analysis of the Digital Healthcare Industry is a groundbreaking book that will uncover the complexities of digital healthcare with a panoramic lens. This carefully curated collection of cross-functional chapters is a beacon guiding academics and industry specialists through the difficulties of the industry's past, present, and future. With experts from fields spanning medicine, technology, business, and regulatory sectors, this book addresses the limitations of current research but serves as a compass for those seeking a more profound comprehension of digital healthcare's collaborative dynamics.

In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident – a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digital Healthcare Trends Using Social Networks undertakes with groundbreaking academic rigor. This book is a key resolution to this overarching problem, and it is meticulously designed to serve academic scholars seeking to unravel the intricacies of the digital healthcare ecosystem. By delving deep into the web of stakeholders, industry-specific challenges, and regulatory frameworks, it provides a comprehensive analysis that is long overdue. Extensive use of research articles, case studies, and empirical evidence serves as a compass to navigate the complexities of digital healthcare. The ultimate goal is to empower academic scholars with knowledge, bridging the gap between theory and practice.

Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance. In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems. - Provides insights into real-world scenarios of the design, development, deployment, application, management, and benefits of federated learning in emerging digital healthcare systems - Highlights the need to design efficient federated learning-based algorithms to tackle the proliferating security and patient privacy issues in digital healthcare systems - Reviews the latest research, along with practical solutions and applications developed by global experts from academia and industry

The digitization of healthcare has become almost ubiquitous in recent years, spreading from healthcare organizations into the homes and personal appliances of practically every citizen. Thanks to the collective efforts of health professionals, patients and care providers as well as systems developers and researchers, the entire population of Europe is able to participate in and enjoy the benefits of digitized health information. This book presents the proceedings of the 26th Medical Informatics in Europe Conference (MIE2015), held in Madrid, Spain, in May 2015. The conference brings together participants who share their latest achievements in biomedical and health Informatics, including the role of the user in digital healthcare, and provides a forum for discussion of the inherent challenges to design and adequately deploy ICT tools, the assessment of health IT interventions, the training of users and the exploitation of available information and knowledge to further the continuous and ubiquitous availability and interoperability of medical information systems. Contributions address methodologies and applications, success stories and lessons learned as well as an overview of on-going projects and directions for the future. The book will be of interest to all those involved in the development, delivery and consumption of health and care information.

Blockchain is a series of transactions recorded in blocks and secured cryptographically. It is immutable, decentralized, and transparent and has proved to be beneficial across all domains to protect and store data. Maintaining privacy, integrity, and security, blockchain is particularly valuable to the healthcare industry. of healthcare data. Blockchain in Digital Healthcare provides a panoramic review of prospects of blockchain technology in the healthcare domain. Users can record transactions in blocks in an immutable distributed ledger that cannot be changed once recorded and/or published. Blockchain is also decentralized, which eliminates dependency on a trusted third party to facilitate transactions, enabling clients and other users of the blockchain to take ownership of the data they push on the network. Blockchain also makes transactions more secure as clients have their own copies. Features: Provides systematic and comprehensive understanding of the block chain technology and the potential in healthcare Describes how security and privacy concerns of healthcare data can be addressed using Blockchain Technology Discusses the concept of smart contracts for performing advanced level scripting to create a blockchain network to provide a platform for the development of decentralized applications Includes a chapter on role of blockchain based insurance application using Ethereum/Hyperledger Presents cases of blockchain use for various aspects of drug manufacturing and the pharma supply chain This book serves as a reference book for IT professionals, scientific investigators and researchers who need to analyze the prospects of blockchain technology in healthcare.

Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.

Digital health has faced obstacles from poor IT systems implementation to lack of consumer acceptance. Very little is known about the management, development, and design of digital health projects, the level of IT adoption, and the role of digital leadership that is needed to successfully drive health projects. Digital health, if successfully implemented, offers tremendous opportunities in health data analytics for consumers of health services and service providers that include health information portability, personalization of health information by consumers, easy access and usefulness of health information, and better management of electronic data records by health institutions and the government. Research suggests that despite assurances provided to consumers, digital information security and digital health innovation have been a challenge and are only slowly being accepted. Opportunities and Challenges in Digital Healthcare Innovation is an innovative research publication that identifies digital health innovation opportunities and obstacles and proposes frameworks and conceptual models for digital health innovation that empowers consumers of digital health to use the information to make informed decisions and choices. Highlighting topics such as data analytics, health regulations, and telehealth, this book is ideal for IT consultants, medical software developers, data scientists, hospital administrators, medical practitioners, policymakers, academicians, researchers, and students.