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Virtual and Mobile Healthcare: Breakthroughs in Research and Practice

Virtual and Mobile Healthcare: Breakthroughs in Research and Practice

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522598640

Category: Medical

Page: 1064

View: 308

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One of the primary topics at the center of discussion, and very often debate, between industry professionals, government officials, and the general public is the current healthcare system and the potential for an overhaul of its processes and services. Many organizations concerned for the long-term care of patients wish to see new strategies, practices, and organizational tools developed to optimize healthcare systems all over the world. One of the central engines of the current shift toward reorientation of healthcare services is virtual and mobile healthcare. Virtual and Mobile Healthcare: Breakthroughs in Research and Practice explores the trends, challenges, and issues related to the emergence of mobile and virtual healthcare. The book also examines how mobile technologies can best be used for the benefit of both doctors and their patients. Highlighting a range of topics such as smart healthcare, electronic health records, and m-health, this publication is an ideal reference source for medical professionals, healthcare administrators, doctors, nurses, practitioners, and researchers in all areas of the medical field.

Identity Theft: Breakthroughs in Research and Practice

Identity Theft: Breakthroughs in Research and Practice

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522508090

Category: Computers

Page: 442

View: 826

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The preservation of private data is a main concern of governments, organizations, and individuals alike. For individuals, a breach in personal information can mean dire consequences for an individual’s finances, medical information, and personal property. Identity Theft: Breakthroughs in Research and Practice highlights emerging perspectives and critical insights into the preservation of personal data and the complications that can arise when one’s identity is compromised. This critical volume features key research on methods and technologies for protection, the problems associated with identity theft, and outlooks for the future. This publication is an essential resource for information security professionals, researchers, and graduate-level students in the fields of criminal science, business, and computer science.

Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice

Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522561996

Category: Business & Economics

Page: 460

View: 202

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The world of medical technologies is undergoing a sea change in the domain of consumer culture. Having a grasp on what appeals to consumers and how consumers are making purchasing decisions is essential to the success of any organization that thrives by offering a product or service. As such, it is vital to examine the consumer-centered aspects of medical technological developments that have a patient-centered focus and allow patients to take part in their own personal health and wellness. Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice is a critical source of academic knowledge on the use of smartphones and other technological devices for cancer therapy, fitness and wellness, chronic disease monitoring, and other areas. The tracking of these items using technology has allowed consumers to take control of their own healthcare. Highlighting a range of pertinent topics such as clinical decision support systems, patient engagement, and electronic health records, this publication is an ideal reference source for doctors, nurse practitioners, hospital administrators, medical professionals, IT professionals, academicians, and researchers interested in advancing medical practice through technology.

Digital Disruption in Healthcare

Digital Disruption in Healthcare

Author: Nilmini Wickramasinghe

Publisher: Springer Nature

ISBN: 9783030956752

Category: Medical

Page: 337

View: 504

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Digital disruption in healthcare is generating new technologies, applications, and large data sets, and these are all precipitating significant changes in healthcare processes. Emerging applications due to digital disruption and their impact on healthcare delivery and quality are becoming some of the key focus areas of research. However, to date, systematic, generalizable, full-scale evaluation of these new technologies/applications is lacking. Little is known about the net short- or long-term health and wellness impacts of digital technologies. Similarly, the care-delivery and management process changes caused by digital disruption are forcing healthcare organizations to react rather than plan for them in advance. Given these gaps, this book addresses the technology, applications, data, and process aspects of digital disruption in healthcare. This volume is a collection of key areas in health and wellness impacted by digital disruption. It highlights the benefits, barriers, facilitators, and transformative forces that are shaping healthcare digital disruption. Topics explored in the chapters include: Towards Network Medicine: Implementation of Panomics and Artificial Intelligence for Precision Medicine Telehealth Implementation: A Synopsis of Patients’ Experience of Clinical Outcomes Realising the Healthcare Value Proposition of Better Access, Quality and Value of Care by Incorporating the Social Determinants of Health with Digital Health The Internet Hospital in the Time of COVID-19: An Example from China Given the diverse interest in healthcare delivery solutions today, the need is broad across academia and the healthcare industry for a comprehensive resource for teaching, practice, and research. Digital Disruption in Healthcare is a point-of-entry resource for transferring theory into practice for heads of IT departments in hospitals, consultants, and academia, as well as scholars and researchers. Both graduate and undergraduate students as well as certificate-seeking health informatics and public health students would benefit from this book. Furthermore, it is useful for healthcare stakeholders including healthcare professionals, clinicians, medical administrators, managers, consultants, policy-makers, and IT practitioners within the healthcare space.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Author: Khalid Raza

Publisher: Springer Nature

ISBN: 9789811585340

Category: Technology & Engineering

Page: 436

View: 894

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The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Intelligent Internet of Things for Healthcare and Industry

Intelligent Internet of Things for Healthcare and Industry

Author: Uttam Ghosh

Publisher: Springer Nature

ISBN: 9783030814731

Category: Application software

Page: 388

View: 428

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This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

IoT-enabled Smart Healthcare Systems, Services and Applications

IoT-enabled Smart Healthcare Systems, Services and Applications

Author: Shalli Rani

Publisher: John Wiley & Sons

ISBN: 9781119816799

Category: Technology & Engineering

Page: 258

View: 720

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b”IoT-Enabled Smart Healthcare Systems, Services and ApplicationsExplore the latest healthcare applications of cutting-edge technologies In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field. With a particular focus on Internet of Things (IoT) technologies, readers will discover how new technologies are impacting healthcare applications from remote monitoring systems to entire healthcare delivery methodologies. After an introduction to the role of emerging technologies in smart health care, this volume includes treatments of ICN-Fog computing, edge computing, security and privacy, IoT architecture, vehicular ad-hoc networks (VANETs), and patient surveillance systems, all in the context of healthcare delivery. Readers will also find: A thorough introduction to ICN-Fog computing for IoT based healthcare, including its architecture and challenges Comprehensive explorations of Internet of Things enabled software defined networking for edge computing in healthcare Practical discussions of a review of e-healthcare systems in India and Thailand, as well as the security and privacy issues that arise through the use of smart healthcare systems using Internet of Things devices In-depth examinations of the architecture and applications of an Internet of Things based healthcare system Perfect for healthcare practitioners and allied health professionals, hospital administrators, and technology professionals, IoT-Enabled Smart Healthcare Systems, Services and Applications is an indispensable addition to the libraries of healthcare regulators and policymakers seeking a one-stop resource that explains cutting-edge technologies in modern healthcare.

Internet of Things for Healthcare Technologies

Internet of Things for Healthcare Technologies

Author: Chinmay Chakraborty

Publisher: Springer Nature

ISBN: 9789811541124

Category: Technology & Engineering

Page: 324

View: 484

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This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

Health Economics and Healthcare Reform: Breakthroughs in Research and Practice

Health Economics and Healthcare Reform: Breakthroughs in Research and Practice

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522531692

Category: Medical

Page: 478

View: 594

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The effective delivery of healthcare services is vital to the general welfare and well-being of a country’s citizens. Financial infrastructure and policy reform can play a significant role in optimizing existing healthcare programs. Health Economics and Healthcare Reform: Breakthroughs in Research and Practice is a comprehensive source of academic material on the importance of economic structures and policy reform initiatives in modern healthcare systems. Highlighting a range of pertinent topics such as clinical costing, patient engagement, and e-health, this book is ideally designed for medical practitioners, researchers, professionals, and students interested in the optimization of healthcare delivery.

Machine Learning for Edge Computing

Machine Learning for Edge Computing

Author: Amitoj Singh

Publisher: CRC Press

ISBN: 9781000609240

Category: Computers

Page: 206

View: 746

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This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.