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Smart Cities: Issues and Challenges: Mapping Political, Social and Economic Risks and Threats serves as a primer on smart cities, providing readers with no prior knowledge on smart cities with an understanding of the current smart cities debates. Gathering cutting-edge research and insights from academics, practitioners and policymakers around the globe, it identifies and discusses the nascent threats and challenges contemporary urban areas face, highlighting the drivers and ways of navigating these issues in an effective manner. Uniquely providing a blend of conceptual academic analysis with empirical insights, the book produces policy recommendations that boost urban sustainability and resilience.

Combines conceptual academic approaches with empirically-driven insights and best practices Offers new approaches and arguments from inter and multi-disciplinary perspectives Provides foundational knowledge and comparative insight from global case-studies that enable critical reflection and operationalization Generates policy recommendations that pave the way to debate and case-based planning

Smart Cities: Issues and Challenges: Mapping Political, Social and Economic Risks and Threats serves as a primer on smart cities, providing readers with no prior knowledge on smart cities with an understanding of the current smart cities debates. Gathering cutting-edge research and insights from academics, practitioners and policymakers around the globe, it identifies and discusses the nascent threats and challenges contemporary urban areas face, highlighting the drivers and ways of navigating these issues in an effective manner. Uniquely providing a blend of conceptual academic analysis with empirical insights, the book produces policy recommendations that boost urban sustainability and resilience.- Combines conceptual academic approaches with empirically-driven insights and best practices- Offers new approaches and arguments from inter and multi-disciplinary perspectives- Provides foundational knowledge and comparative insight from global case-studies that enable critical reflection and operationalization- Generates policy recommendations that pave the way to debate and case-based planning

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

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 Tools and Data for Innovative Healthcare: A Vision for Healthier and More Inclusive Societies is an invaluable resource for addressing the critical needs of healthcare professionals and researchers. In 6 sections, it provides an in-depth exploration of digital health technologies, offering practical applications and ethical guidelines that are essential for the effective use of health data. By focusing on the integration of AI and machine learning in clinical environments, the book equips its audience with the knowledge necessary to enhance patient outcomes and optimise healthcare operations. This comprehensive approach ensures that readers are well-prepared to navigate and leverage the rapidly evolving landscape of digital healthcare.Provides understanding to the potential of digital tools in the field of healthcare and how these tools can build stronger national health systemsInclude cases with experiences of applications of health data, tools and services for the digital transformation of healthcare sectorGive views and insights for the transition towards stronger healthcare models and infrastructures

Digital Tools and Data for Innovative Healthcare: A Vision for Healthier and More Inclusive Societies is an invaluable resource for addressing the critical needs of healthcare professionals and researchers. In 6 sections, it provides an in-depth exploration of digital health technologies, offering practical applications and ethical guidelines that are essential for the effective use of health data. By focusing on the integration of AI and machine learning in clinical environments, the book equips its audience with the knowledge necessary to enhance patient outcomes and optimise healthcare operations. This comprehensive approach ensures that readers are well-prepared to navigate and leverage the rapidly evolving landscape of digital healthcare.- Provides understanding to the potential of digital tools in the field of healthcare and how these tools can build stronger national health systems- Include cases with experiences of applications of health data, tools and services for the digital transformation of healthcare sector- Give views and insights for the transition towards stronger healthcare models and infrastructures

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

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 conception- Focuses on the ethical considerations and GCP standards essential for conducting clinical trials- Provides detailed insights into the responsibilities of researchers, informed consent processes, and strategies for maintaining participant safety and data integrity- Includes 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 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 foundational topics. 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.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. This updated 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, examples, and interactive components like QR codesEquips readers with the knowledge and strategies needed to stay ahead in the rapidly evolving field of health informatics, ensuring relevance across various regions

Innovation in Health Informatics: Driving Value-Based Healthcare through Economic Efficiency, Second Edition addresses 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 foundational topics. 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.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. This updated 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 dashboards- Provides actionable insights and real-world applications, making complex concepts accessible and practical for implementation through updated case studies, examples, and interactive components like QR codes- Equips readers with the knowledge and strategies needed to stay ahead in the rapidly evolving field of health informatics, ensuring relevance across various regions

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

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 industry- Highlights the transformative impact of emerging technologies such as AI, big data, and blockchain on pharmaceutical research, development, and commercialization- Includes case studies that illustrate key points- Addresses critical global health challenges and strategies for improving access to innovative medicines, promoting health equity and ensuring timely healthcare delivery for underserved populations

Digital Transformation in Healthcare: Innovations in Hospital and Medical Services explores the digital revolution in healthcare, addressing the challenges and opportunities faced by hospitals, medical faculties, and research institutions. The book highlights the role of advanced information technologies in providing innovative solutions for an ageing population's well-being. It covers critical areas such as hospital management, adapting medical education to digital advancements, and emerging IT tools in healthcare. The book features contributions from leading academics and practitioners worldwide, discussing topics like 5G, AI, big data, blockchain, and digital tools for citizen empowerment, supported by real-world case studies. This resource is invaluable for academics, offering new insights to shape innovative policies in healthcare, education, and information technologies. It fosters dialogue among managers, students, policymakers, and healthcare professionals, contributing to the global advancement of digital healthcare practices.Gives insight into the latest advancements in 5G, artificial intelligence, big data, and blockchain, providing comprehensive insights into their applications in healthcareFeatures practical examples and success stories from various regions, illustrating the effective implementation of digital tools and strategies in healthcare settingsDiscusses the adaptation of medical education to the digital age and offers guidance for shaping innovative healthcare policies

Sustainable Digital Medicine: Green Technology Integration for Inclusive Health Systems explores the transformative potential of digital innovation in healthcare. This edited volume brings together global perspectives on how emerging technologies can modernize health systems while promoting sustainability and inclusivity. The book covers key topics such as AI integration in medicine, digital tools for citizen empowerment, modernization of medical education, and the environmental impact of healthcare technologies. It includes case studies from Asia, Europe, the Gulf Region, and the Americas, offering comparative insights and practical applications. Contributors analyze challenges and opportunities in digital health, with policy recommendations for decision-makers. Designed for researchers, academics, and policymakers, this book provides timely knowledge and actionable strategies. Readers gain a deeper understanding of digital transformation in healthcare, new professional skillsets, and the role of technology in building resilient, equitable health systems aligned with global sustainability goals.Explores cutting-edge integration of digital and green technologies in healthcare, offering theoretical insights and practical applications for inclusive and resilient health systemsPresents global case studies and comparative analyses from diverse regions, enabling academics to examine real-world implementations and cross-cultural perspectives in digital healthProvides actionable policy recommendations and future-oriented frameworks, supporting researchers and educators in shaping curricula, guiding innovation, and informing strategic decisions in healthcare transformation

Electronic globalized business and sustainable development through IT management: strategies and perspectives provides fresh ideas on how IT and modern management can contribute to societal and economic objectives, and the significant role of IT for global challenges and international collaboration. This book aims to bring together academics, researchers, entrepreneurs, policy makers and government officers to contribute to the debate on sustainable development and strategic management through Information Technology.