Patient-focused healthcare, driven by COVID-19 experiences, has become a hallmark for providing healthcare services to patients across all modalities of care and in the home. The ability to capture real-time patient data, no matter the location, via remote patient monitoring, and to transmit that data to providers and organizations approved by the consumer/patient, will become a critical capability for all healthcare providers. Of all the remote patient monitoring product designs, wearable medical devices are emerging as the best positioned to support the evolving patient-focused healthcare environment. This book is for those who are evaluating, selecting, implementing, managing, or designing wearable devices to monitor the health of patients and consumers. This book will provide the knowledge to understand the issues that mitigate the risk of wearable technologies so people can deliver successful projects using these technologies. It will discuss their use in remote patient monitoring, the advantages and disadvantages of different types of physiological sensors, different wireless communication protocols, and different power sources. It will describe issues and solutions in cybersecurity and HIPAA compliance, as well as setting them up to be used in healthcare systems and by patients.

This book explains how telemedicine can offer solutions capable of improving the care and survival rates of cancer patients and can also help patients to live a normal life in spite of their condition. Different fields of application – community, hospital and home based – are examined, and detailed attention is paid to the use of tele-oncology in rural/extreme rural settings and in developing countries. The impact of new technologies and the opportunities afforded by the social web are both discussed. The concluding chapters consider eLearning in relation to cancer care and assess the scope for education to improve prevention. No medical condition can shatter people’s lives as cancer does today and the need to develop strategies to reduce the disease burden and improve quality of life is paramount. Readers will find this new volume in Springer’s TELe Health series to be a rich source of information on the important contribution that can be made by telemedicine in achieving these goals.

The book provides a comprehensive examination of the integration of IoT technology into various industries and its impact on daily life, with a focus on the most recent advancements in the field. The technical aspects of IoT are thoroughly discussed, including the implementation of cutting-edge sensors, data communication protocols, and network topologies. The book also covers the latest advancements in areas such as edge computing, 5G networks, and AI-powered IoT devices. Emphasis is placed on the examination of IoT in real-world applications, including healthcare, agriculture, transportation, and home automation. Other highlights of the book include: IoT-based systems for monitoring air and water quality Wearable devices for continuous monitoring of vital signs and other health metrics IoT-based systems for monitoring and optimizing crop growth and yields Connected vehicles for improved safety, efficiency, and traffic management Monitoring of goods and resources in transit to optimize delivery times With case studies and real-world examples, readers gain a comprehensive understanding of how IoT is revolutionizing various industries and enhancing daily life. This book is a comprehensive guide to the exciting world of IoT and its practical application.

In "The Art of Televasculobiomedicine 5,0" by Dito Anurogo and Niko Azhari Hidayat, a meticulous examination of the synergistic integration of telemedicine, vascular surgery, and biomedicine is adeptly presented. The narrative initiates with a foundational exploration, offering readers an evolutionary journey through the intricate landscapes of Televasculobiomedicine, marked by its preceding four developmental phases. Telemedicine is heralded for its revolutionary attributes in augmenting accessibility, amplifying efficiency, and engendering cost-effectiveness in healthcare. The authors navigate the complex domains of vascular surgery, concurrently unveiling the pivotal contributions of biomedicine. Pertinent discussions on artificial intelligence, nano-robotics, and 5G technology are seamlessly interwoven, exposing their profound potentialities and inherent challenges. Ethical imperatives, patient-centric approaches, data confidentialit, and universal standardization are underscored as cardinal elements. Additionally, an insightful discourse on the confluence of Televasculobiomedicine and health tourism is elucidated. The oeuvre projects an avant-garde vista of Televasculobiomedicine, accentuating the quintessence of international amalgamation. As a manifestation of Vascular Indonesia's assiduous endeavour and platform, i.e.: Vascular Indonesia Book Education Series (VIBES), this magnum opus resonates as an instrumental compass for aficionados and professionals navigating the multifaceted corridors of advanced integrative healthcare, echoing the harmonization of technological innovation with health, as envisaged in Indonesia's post-pandemic National Health Transformation through the perennial execution of Tri Dharma, extending its resonances globally.

The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics, smart grid, and smart cities Presents real-time examples for better understanding The text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer science.

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field. - Presents advanced procedures to address and enhance available diagnostic methods - Focuses on identifying challenges and solutions through an integrated approach that shapes a path for new research dimensions - Discusses the implementation of deep learning techniques for the detection and classification of diseases

This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare. This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area. This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

Digital Health: Exploring Use and Integration of Wearables is the first book to show how and why engineering theory is used to solve real-world clinical applications, considering the knowledge and lessons gathered during many international projects. This book provides a pragmatic A to Z guide on the design, deployment and use of wearable technologies for laboratory and remote patient assessment, aligning the shared interests of diverse professions to meet with a common goal of translating engineering theory to modern clinical practice. It offers multidisciplinary experiences to guide engineers where no clinically advice and expertise may be available. Entering the domain of wearables in healthcare is notoriously difficult as projects and ideas often fail to deliver due to the lack of clinical understanding, i.e., what do healthcare professionals and patients really need? This book provides engineers and computer scientists with the clinical guidance to ensure their novel work successfully translates to inform real-world clinical diagnosis, treatment and management. Presents the first guide for wearable technologies in a multidisciplinary and translational manner Helps engineers design real-world applications to help them better understand theory and drive pragmatic clinical solutions Combines the expertise of engineers and clinicians in one go-to guide, accessible to all

Nursing Informatics and the Foundation of Knowledge, Sixth Edition is a comprehensive resource that helps nursing students make sense of nursing informatics by illustrating how to use and apply knowledge situationally within their professional practice alongside the latest technologies and tools. A practical guide for understanding how to efficiently use modern technology in today's healthcare system, this award-winning nursing textbook teaches students how to acquire, process and disseminate knowledge. The authors use their unique Foundation of Knowledge Model throughout as an organizational structure by which to learn and teach nursing informatics. This comprehensive framework guides students through the basic building blocks of nursing informatics (nursing science, information science, computer science, cognitive science) before divig into the most current technologies, tools, and trends in nursing informatics.

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