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Despite blockchain being an emerging technology that is mainly applied in the financial and logistics domain areas, it has great potential to be applied in other industries to generate a wider impact. Due to the need for social distancing globally, blockchain has great opportunities to be adopted in digital health including health insurance, pharmaceutical supply chain, remote diagnosis, and more. Revolutionizing Digital Healthcare Through Blockchain Technology Applications explores the current applications and future opportunities of blockchain technology in digital health and provides a reference for the development of blockchain in digital health for the future. Covering key topics such as privacy, blockchain economy, and cryptocurrency, this reference work is ideal for computer scientists, healthcare professionals, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
Medical internet of things (IoT)-based applications are being utilized in several industries and have been shown to provide significant advantages to users in critical health applications. Artificial intelligence (AI) plays a key role in the growth and success of medical IoT applications and IoT devices in the medical sector. To enhance revenue, improve competitive advantage, and increase consumer engagement, the use of AI with medical IoT should be encouraged in the healthcare and medical arena. Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications provides greater knowledge of how AI affects healthcare and medical efficacy in order to improve outputs. It focuses on a thorough and comprehensive introduction to machine learning. Covering topics such as patient treatment, cyber-physical systems, and telemedicine, this premier reference source is a dynamic resource for hospital administrators, medical professionals, government officials, students and faculty of higher education, librarians, researchers, and academicians.
Traditional patient care and treatment approaches often lack the personalized and interactive elements necessary for effective healthcare delivery. This means that the healthcare industry must find innovative solutions to improve patient outcomes, enhance rehabilitation processes, and optimize resource utilization. There is a gap between the traditional approach and the need for innovation that highlights the importance of a comprehensive understanding of emerging technologies, including Kinect Sensor technology, and the potential to transform healthcare practices with this tech. Revolutionizing Healthcare Treatment With Sensor Technology addresses this critical need by thoroughly exploring how Kinect Sensor technology can revolutionize patient care and treatment methodologies. By repurposing and customizing Kinect Sensor for healthcare applications, this book showcases how depth-sensing cameras, infrared sensors, and advanced motion tracking can capture and interpret real-time patient movements and interactions. This book is ideal for healthcare professionals, hospital administrators, researchers, patients, caregivers, and healthcare technology developers seeking to leverage Kinect Sensor technology for enhanced healthcare delivery. Through detailed case studies and practical examples, experts can learn how to integrate Kinect Sensor into various medical settings to gain valuable insights into patients' physical capabilities, monitor their progress, and create personalized treatment plans.
Emerging Technologies for Health Literacy and Medical Practice unveils a transformative revolution brought about by emerging technologies, setting the stage for a paradigmatic shift from reactive medical interventions to proactive preventive measures. This transition has not only redefined the doctor-patient relationship but has also placed patients at the helm of their health management, actively engaged in informed decision-making. The book, a collective effort by experts across diverse disciplines, stands as an authoritative compendium delving into the profound implications of cutting-edge technologies in healthcare. From the tantalizing realm of artificial intelligence powering diagnostics and treatments to the tangible impact of wearable health devices and telemedicine on accessibility, each chapter delves into the nuanced interplay between technology and medical practice. This book spotlights the capabilities of these technologies, as well as dissecting the ethical, social, and regulatory tapestry they unravel. This book, thoughtfully tailored for a spectrum of stakeholders, epitomizes a synergy between knowledge dissemination and empowerment. From healthcare practitioners seeking to optimize medical practices to policymakers navigating the labyrinth of ethical considerations, from educators enriching health literacy to patients empowered to navigate their health journey, the book unearths its relevance across the healthcare spectrum.
Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.
In the field of health, digital health has assumed significant importance in recent years due to its contribution to enhancing the overall healthcare system performance in terms of alleviating the ever-growing pressure on the healthcare system, reducing healthcare costs, improving working conditions and job satisfaction of health professionals, improving patients’ satisfaction, and providing a holistic view of patient health through access to data and giving patients more control over their health. Therefore, it is of vital importance to understand the overwhelming possibilities and promise it can offer for better health services. Similarly, exploring barriers to digital health engagement is an important tool to guarantee an effective adoption and transition that can meet all healthcare stakeholders’ objectives. Integrating Digital Health Strategies for Effective Administration explores recent writings and original research findings in the field of digital health with a special focus on digital health adoption strategies and challenges. This book is intellectually situated between digital health management and digital health technologies. Covering topics such as digital health literacy, machine learning, and procedural law, this premier reference source is an essential resource for app developers, healthcare administrators, healthcare professionals, students and educators of higher education, researchers, and academicians.
Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to collect, monitor, control, optimize, model, and predict healthcare data using blockchain, AI, and IoT. The book also considers the advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. Covering key topics such as disruptive technology, electronic health records, and medical data, this premier reference source is ideal for computer scientists, nurses, doctors, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Health information about any patent is extremely critical. As there are many malicious users and misuses of health data, this information is not shared amongst health organizations due to security and privacy issues. Blockchain is being explored as a platform for securely exchanging healthcare data among the organizations in public domains, allowing doctors and practitioners to have access to more comprehensive health histories and in turn provide better care to patients. Prospects of Blockchain Technology for Accelerating Scientific Advancement in Healthcare disseminates the recent research findings on blockchain in healthcare and reviews current state-of-the-art blockchain applications in healthcare. This book also discusses various challenges faced by the healthcare community in securing healthcare data. Covering topics such as consensus mechanisms, smart healthcare systems, and supply chain management, it serves as an essential resource for healthcare professionals, computer scientists, information security professionals, data scientists, policymakers, researchers, and academicians.
The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise due to increased digitization. Federated Learning and AI for Healthcare 5.0 offers solutions, explaining cloud computing's role in managing data and advocating for security measures. It explores federated learning's use in maintaining data privacy during analysis, presenting practical cases for implementation. The book also addresses emerging tech like quantum computing and blockchain-based services, envisioning an innovative Healthcare 5.0. It empowers healthcare professionals, IT experts, and data scientists to leverage these technologies for improved patient care and system efficiency, making Healthcare 5.0 secure and patient centric.
It has become clear that managing and maintaining state-of-the-art healthcare facilities is more important than ever before. Healthcare consists of many different institutions and supports personnel ranging from laboratories of universities, public and private hospitals, research centers of health institutions, public health institutes, institutions, and organizations engaged in research and development in the field of medicine. For all these entities to be successful, there needs to be coordination among the bodies and quality must be kept at a very high level. The Handbook of Research on Quality and Competitiveness in the Healthcare Services Sector considers the current state of the healthcare services sector and examines future directions. Covering topics such as quality excellence models, accreditation, and e-health, this major reference work is an essential resource for economists, healthcare specialists, government officials, consultants, business leaders and executives, healthcare professionals, IT managers, students and educators of higher education, researchers, and academicians.