Next Generation Technology Driven Personalized Medicine And Smart Healthcare - Böcker

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare.

This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.

Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate.

The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry.

Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health.

This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare.

Holistically discusses the new landscape of digital transformation and sustainability in health Presents a case study driven approach based on real-world scenarios to help readers apply the knowledge gained into practice Promotes sound research on the impact of emerging technologies in health and life specialties and their relevant role during the COVID-19 pandemic

Next Generation eHealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence discusses the emergence, the impact, and the potential of sophisticated computational capabilities in healthcare. This book provides useful therapeutic targets to improve diagnosis, therapies, and prognosis of diseases, as well as helping with the establishment of better and more efficient next-generation medicine and medical systems. Machine learning as a field greatly contributes to next-generation medical research with the goal of improving medicine practices and medical Systems. As a contributing factor to better health outcomes, this book highlights the need for advanced training of professionals from various health areas, clinicians, educators, and social professionals who deal with patients. Content illustrates current issues and future promises as they pertain to all stakeholders, including informaticians, professionals in diagnostics, key industry experts in biotech, pharma, administrators, clinicians, patients, educators, students, health professionals, social scientists and legislators, health providers, advocacy groups, and more. With a focus on machine learning, deep learning, and neural networks, this volume communicates in an integrated, fresh, and novel way the impact of data science and computational intelligence to diverse audiences.Allows medical scientists, computer science experts, researchers, and health professionals to better educate themselves on machine Learning practices and applications and to benefit from the improvement of their knowledge skillsProvides various tested and current techniques of health literacy as a determinant of health and well-beingProvides insight into international research successfully implemented in patient care and education through the proper training of health professionalsOffers detailed guidance for diverse communities on their need to get timely, trusted, and integrated knowledge for the adoption of ML in healthcare processes and decisions. professionals involved with healthcare to leverage productive partnerships with technology developers

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

A Comprehensive Guide for Novice Researcher in Clinical Trials is a must-have resource for individuals embarking on the journey of clinical research. This book is tailored for beginners, offering a clear and structured introduction to the vital principles, methodologies, and skills required to design and conduct robust clinical trials. Spanning 13 chapters, it meticulously covers the entire clinical trial process, emphasizing Good Clinical Practice (GCP) standards. From foundational research concepts to advanced trial strategies, the guide empowers readers to confidently navigate the complexities of clinical trials and contribute meaningfully to the field of healthcare.In addition to its foundational content, the book addresses a variety of important topics, such as ethical considerations, regulatory compliance, and the development of trial protocols. It explores different trial designs, types of bias, and the historical evolution of clinical research. Practical sections on data management, monitoring, statistical analysis, and project management offer readers hands-on guidance for real-world application. Notably, the book includes a dedicated focus on regulatory affairs in Saudi Arabia, making it particularly valuable for health professionals in that region.Includes content that follows a stepwise format, making it easy for novice researchers to absorb complex conceptionFocuses on the ethical considerations and GCP standards essential for conducting clinical trialsProvides detailed insights into the responsibilities of researchers, informed consent processes, and strategies for maintaining participant safety and data integrityIncludes practical tools and templates for protocol development, data management, and trial monitoring

Innovation in Health Informatics: Driving Value-Based Healthcare through Economic Efficiency, Second Edition, addresses the rapid advancements in health informatics by integrating the latest technologies and methodologies. The revised edition includes new chapters on Digital Twins, Blockchain, AI applications for Personalized Medicine, and Health Analytics Dashboards, enriching the foundational topics. The primary goals of this revision are to update the book with the latest technological advancements, expand the scope to include emerging topics, and enhance existing chapters, ensuring it remains a comprehensive resource for professionals and students. The book delves into the economic implications and practical applications of these technologies, offering evidence-based strategies for their integration into healthcare systems. For the academic audience, this book bridges the gap between theory and practice, featuring practical case studies, end-of-chapter summaries, and interactive components like QR codes linking to online resources and simulation videos. This edition equips readers with up-to-date knowledge and tools to navigate and innovate within the evolving landscape of health informatics.Includes new chapters on cutting-edge topics such as Digital Twins, Blockchain, AI applications for Personalized Medicine, and Health Analytics DashboardsProvides actionable insights and real-world applications, making complex concepts accessible and practical for implementation through updated case studies, practical examples, and interactive components like QR codeEquips readers with the knowledge and strategies needed to stay ahead in the rapidly evolving field of health informatics, ensuring relevance across various regions and contexts

The Future of Pharma Across All Sectors in the Artificial Intelligence Era offers a thorough examination of the pharmaceutical industry's current landscape, highlighting the myriad challenges, opportunities, and trends that are poised to shape its future. Edited by experts, this book delves into transformative technological advancements, including artificial intelligence, machine learning, big data analytics, and blockchain. These technologies are redefining pharmaceutical research, development, and commercialization, making precision medicine and personalized therapies a reality, while integrating genomic medicine into the pharmaceutical value chain.Additionally, the book addresses educational implications for academic curricula, emphasizing the need for digital transformation in healthcare delivery models. It scrutinizes regulatory trends and compliance, offering insights into navigating complex landscapes to ensure product quality and safety. The book emphasizes the pharmaceutical industry's role in tackling infectious diseases and health disparities, promoting health equity through innovative drug development and access initiatives. Future trends and predictions are speculated upon, considering demographic shifts and evolving healthcare needs, while market dynamics and commercial strategies are analyzed to equip pharmaceutical companies with practical recommendations for navigating competitive landscapes.Provides an in-depth examination of the current pharmaceutical landscape, identifying key challenges and opportunities while also exploring trends that will shape the future of the industryHighlights the transformative impact of emerging technologies such as AI, big data, and blockchain on pharmaceutical research, development, and commercializationIncludes case studies that illustrate key pointsAddresses critical global health challenges and strategies for improving access to innovative medicines, promoting health equity and ensuring timely healthcare delivery for underserved populations