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Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2021), jointly organized by Universidad del Rosario (Bogota, Colombia); the University of Vigo (Galicia, Spain); the University of Santiago de Compostela-Equipo de Investigaciones Politicas (Galicia, Spain); the University of A Coruna (Galicia, Spain); and the Information and Technology Management Association (ITMA), during September 2021. It covers recent advances in the field of digital communication and processes digital social media, software, big data, data mining, and intelligent systems.
This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.
This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21-22, 2020. The main theme of the book is "Innovative Systems for Intelligent Health Informatics". A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.
This book presents selected papers from the Sixteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the Thirteenth International Conference on Frontiers of Information Technology, Applications and Tools, held on November 5-7, 2020, in Ho Chi Minh City, Vietnam. It is divided into two volumes and discusses the latest research outcomes in the field of Information Technology (IT) including information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and Internet of things, and their applications.
This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.
This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.
This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.
This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-22), held in Rhodes, Greece, on June 20-22, 2022. Covering a number of key areas, including digital IT architecture in health care; advanced ICT for medicine and health care; biomedical engineering, trends, research, and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists, and anyone wishing to gain an overview of the latest research in these fields.
The book discusses Society 5.0 which fills the gap between cyber and physical space by providing a balanced environment between economic and social needs. The book is divided into two parts; part A focuses on various concepts related to Society 5.0 such as cyber space, physical space, information management and digital transformation. Part B discusses various integrated fields in Society 5.0, such as super-smart healthcare system, super-smart hospitality system, smart building, and transport management system. It also illustrates the concepts of big data, real-time analytics for smart Society 5.0 with an insight of real-time case studies.
For all of the tremendous advances in medicine and treatment the world has seen in the modern era, the human body's ability to heal itself remains a (literally) vital and often overlooked facet of healthcare. Through the use of emotional design, aimed at transforming healthcare environments, such as waiting rooms, in such a way as to boost the emotional wellbeing of patients, and thus their general attitudes, including in regard to their own healing processes, medical institutions can improve outcomes for the people they treat while simultaneously lowering overall costs. Design, as an inherently transdisciplinary, problem-solving activity, is well-suited to this task. And when combined with a field of study such as neuroscience, which can literally map out the perceptions that lead to the experience of particular emotions, healthcare environments can be transformed into spaces (through such innovations as Kansei engineering) that then subsequently transform the people who rely on them the most, leading to more efficiency and less red ink.
This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems. Provides current research, developments, and applications in pervasive healthcare; Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare; Pertinent for researchers, students, practitioners and healthcare decision makers.
The primary aim of this textbook is to contribute towards the promotion of human security by educating nurses with a profound understanding of disaster nursing and to conduct innovative research and practices in cooperation. This textbook emphasizes on multi-professional connections; offers knowledge on how Japanese disaster nursing got evolved in changing social contexts and provides various case studies that reflect wonderful practices in the disaster nursing field which have contributed to the Sendai Framework for Disaster Risk Reduction, the UN Sustainable Development Goals, and sustainable human security. Frequent disasters have triggered the need for more trans-disciplinary work, high-level care throughout all phases of a disaster event, and the need for nursing leaders. Apart from hospitals, in local communities, nurses can take a role to mitigate health risks. Being a member of every part of the healthcare system, they can become critically needed leaders in emergency management and disaster preparedness. This work includes a DRR Framework and the application to disaster nursing, information on preparedness and community resilience and on the related disciplines and coordination with disaster nursing. It informs on the challenges in disaster nursing, offers instructional design, education development and research in disaster nursing. Students, professional nurses, clinicians, community health practitioners, health volunteers, disaster support organizations, researchers, and community partners who are involved in the care of disaster survivors can use this resource. Written by distinguished experts with diverse backgrounds of nursing, public health, health informatics, and geography, this book shows how practitioners, researchers, policymakers, and multiple community stakeholders who can collaborate effectively and efficiently to restore primary health care of survivors after a local disaster.
This is a guide for the system designers and installers faced with
the day-to-day issues of achieving EMC, and will be found valuable
across a wide range of roles and sectors, including process
control, manufacturing, medical, IT and building management. The
EMC issues covered will also make this book essential reading for
product manufacturers and suppliers - and highly relevant for
managers as well as technical staff. EMC for Systems and Installations is designed to complement Tim
Williams' highly successful EMC for Product Designers.
Aware that a single crisis event can devastate their business, managers must be prepared for the worst from an expansive array of threats. The Routledge Companion to Risk, Crisis and Security in Business comprises a professional and scholarly collection of work in this critical field. Risks come in many varieties, and there is a growing concern for organizations to respond to the challenge. Businesses can be severely impacted by natural and man-made disasters including: floods, earthquakes, tsunami, environmental threats, terrorism, supply chain risks, pandemics, and white-collar crime. An organization's resilience is dependent not only on their own system security and infrastructure, but also on the wider infrastructure providing health and safety, utilities, transportation, and communication. Developments in risk security and management knowledge offer a path towards resilience and recovery through effective leadership in crisis situations. The growing body of knowledge in research and methodologies is a basis for decisions to safeguard people and assets, and to ensure the survivability of an organization from a crisis. Not only can businesses become more secure through risk management, but an effective program can also facilitate innovation and afford new opportunities. With chapters written by an international selection of leading experts, this book fills a crucial gap in our current knowledge of risk, crisis and security in business by exploring a broad spectrum of topics in the field. Edited by a globally-recognized expert on risk, this book is a vital reference for researchers, professionals and students with an interest in current scholarship in this expanding discipline.
Game Over tells the harrowing true story of teenager Breck Bednar, who was groomed over the internet and brutally murdered on 17 February 2014 by a supposed 'friend' that he met online. Breck's story is told in Mark's potent verbatim style, using the words of his family, friends and the killer. It's a shocking but deeply powerful play, with a unique 21st-century message. The play is particularly suitable for 'socially distanced' or online performances in students' own homes and can be easily adapted to suit this medium. Suitable for: Key Stage 3/4, GCSE, BTEC, A-Level to adult Duration: 75 minutes approximately Cast: 24 characters total. 8 male, 9 female and 7 male or female. The play is suitable for a large cast and multi-roling is also possible. "[A] chilling and harrowing tale, skilfully written using the words of Breck's family, friends and his killer. It deals with the potentially disastrous effects of social media and how to keep safe online by recognising the signs of grooming and exploitation." Vivienne Lafferty, Trustee National Drama
This book provides practitioners and scientists with insights into diverse aspects of structured reporting to allow them to develop tools and a knowledge base to ensure that this electronic reporting trend is widely applied. After an introduction to reporting in radiology, various parts of structured reporting are discussed in detail, including an overview of standardized reporting systems, standardized reporting language, DICOM structured reporting, template based structured reporting, and modular reporting. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. Endorsed by the European Society of Medical Imaging Informatics (EuSoMII), the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Level I and II. It is a valuable resource for residents, radiologists and students.
While the dependability requirements of distributed real-time systems are expanding, there is currently no framework for defining and mapping these requirements into the system design and operation. A method of controlling and achieving the dependability level is real-time monitoring, which measures the degree of requirements fulfilment, relates it to the pre-defined, measurable system-level expectations and dynamically adapts the system, based on quality metrics, risk analysis, cost evaluation, control theory, neural networks, data acquisition and system knowledge management. The book deduces a framework to reveal, define, quantify, measure, analyse, design, implement, test, monitor and enhance dependability (functional and non-functional) requirements of a distributed system with real-time constraints. It is presented how the framework can be applied throughout all life-cycle stages, under varying constraints and with maximised cost effectiveness. An overview of the tools and methodologies applicable has been given and an integrated and generalised architecture for ensuring continuous fulfilment of system requirements, proposed. The framework provides a multilevel specification mechanism to establish the preservation of system requirements. This ensures the correct functioning of system through adaptations at run time. Among the benefits are controlled access and coordinated resource sharing in accordance with service-level agreement policies, multi-stakeholder interest preservation, transparency with respect to location, naming, performance etc., achievement of quality of service on demand, decentralisation, seamless integration of resources and applications, as well as increased predictability. READERSHIP: The intended audience is broad: real time and distributed systems scientists and developers, software engineers, students, quality assurance managers, contractors, users, service providers and all those searching for an alternative approach to handling and ensuring automated control of fulfilment of system requirements. Moreover, those needing a handbook on contract negotiations and a method of tracing operational results back into system requirements of long lived projects with high dependability and integrity demands.
Der Krankenhaus-Report, der jahrlich in Buchform und als Open-Access-Publikation erscheint, analysiert 2020 im Rahmen seines Schwerpunktthemas "Finanzierung und Vergutung am Scheideweg" die aktuellen Entwicklungen in der Krankenhausfinanzierung. Jedes System der Krankenhausfinanzierung und -vergutung setzt zwangslaufig positive und negative Anreize. Auch mit dem in Deutschland 2003 eingefuhrten Fallpauschalensystem waren bestimmte Ziele verbunden. Das als "lernendes System" angelegte G-DRG-System erfuhr im Lauf der Zeit eine Vielzahl von Modifikationen und Erganzungen, die Ausgliederung der Pflegekosten ab 2020 gilt allerdings als die wesentlichste Veranderung. Ziel des Krankenhaus-Reports 2020 ist es, das Finanzierungssystem zu analysieren und Perspektiven der Weiterentwicklung aufzuzeigen. Aus dem InhaltDer Krankenhaus-Report 2020 thematisiert unter anderem: Anspruch und Wirklichkeit der DRG-Einfuhrung in Deutschland Empirische Evidenz zu den Wirkungen des G-DRG-Systems Systeme der Krankenhausfinanzierung und ihre Anreizwirkungen Mengensteuerung Vergutung der Pflege Vergutung und Qualitat Gewinne im Krankenhausmarkt Investitionsfinanzierung und Strukturprobleme Zusatzlich werden folgende Themen zur Diskussion gestellt: Krankenhausfinanzierung und -vergutung als politisches Handlungsfeld Wirksamkeit des Krankenhausstrukturfonds Ausrichtung der Krankenhausplanung am Patientennutzen Der Datenteil greift die Krankenhausbudgetentwicklung sowie die fallpauschalenbezogene Krankenhausstatistik des Statistischen Bundesamtes auf. Erganzt werden diese Datenanalysen durch die Krankenhauspolitische Chronik.
Healthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.
The book consists of the latest research in biomedical and communication integration. It discusses the fabrication and testing outcomes of the Internet of Things-enabled biomedical applications. The book focuses on recent advances in the field of planar antenna design and their applications in space communication, mobile communication, wireless communication, and wearable applications. Planar antennas are also used in medical applications in microwave imaging, medical implants, hyperthermia treatments, and wireless wellness monitoring. This book presents planar antenna design concepts, methods, and techniques to enhance the performance parameters and applications for IoT and device-to-device communication. It provides the latest techniques used for the design of antennas in terms of their structures, defected ground, MIMO, and fractal design. This book also addresses the specific steps to resolve issues in designing antennas and how to design conformal and miniaturized antenna structures for various applications.
Recent advances in artificial intelligence (AI) and machine learning have witnessed many successes in various disciplines including the healthcare sector. Innovations in intelligent medical systems have revolutionized the way in which healthcare services are provided, ranging from making clinical diagnosis, developing personalized treatment and drugs, assisting patient monitoring, to automating administrative tasks and reducing operational costs. In this book, the authors present key applications in the general area of health care, where AI has made significant successes. From the individual chapters, the readers will be provided with a range of examples to illustrate the wide plethora of application domains utilizing state-of-the-art AI techniques, proving credence to the versatility and effectiveness of an AI approach in health care and medicine. We envisage that this book is ideal for individuals new to the notion of AI in health care, equally, early career academics who wish to further expand on their knowledge in AI in medicine. What will be presented is in no means an exhaustive list of applications, but most definitely a varied one.
This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impact on healthcare delivery in recent years. One crucial benefit of EHRs is to capture all the patient encounters with rich multi-modality data. Healthcare data include both structured and unstructured information. Structured data include various medical codes for diagnoses and procedures, lab results, and medication information. Unstructured data contain 1) clinical notes as text, 2) medical imaging data such as X-rays, echocardiogram, and magnetic resonance imaging (MRI), and 3) time-series data such as the electrocardiogram (ECG) and electroencephalogram (EEG). Beyond the data collected during clinical visits, patient self-generated/reported data start to grow thanks to wearable sensors' increasing use. The authors present deep learning case studies on all data described. Deep learning models: Neural network models are a class of machine learning methods with a long history. Deep learning models are neural networks of many layers, which can extract multiple levels of features from raw data. Deep learning applied to healthcare is a natural and promising direction with many initial successes. The authors cover deep neural networks, convolutional neural networks, recurrent neural networks, embedding methods, autoencoders, attention models, graph neural networks, memory networks, and generative models. It's presented with concrete healthcare case studies such as clinical predictive modeling, readmission prediction, phenotyping, x-ray classification, ECG diagnosis, sleep monitoring, automatic diagnosis coding from clinical notes, automatic deidentification, medication recommendation, drug discovery (drug property prediction and molecule generation), and clinical trial matching. This textbook targets graduate-level students focused on deep learning methods and their healthcare applications. It can be used for the concepts of deep learning and its applications as well. Researchers working in this field will also find this book to be extremely useful and valuable for their research.
The book discusses concepts and theories of general management and their specific applications related to public health and health care. Each chapter highlights the ideas and usefulness of different approaches in the context of health management. It addresses problems in different areas of healthcare systems management. It offers solutions in improving the performance, efficiency, and effectiveness of health programs and systems. Some of the topics covered in the book include health systems and policy, epidemiology, biostatistics, population dynamics, health economics and finance, logistics and supply chain, health research, health communication, quality management in health, and legal and ethical issues in health. The book serves as an indispensable resource for the faculties and students of health management or public health globally as well as healthcare professionals and researchers.
This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sentinel surveillance and wireless application-based surveillance science. It also highlights topics that integrate statistical and epidemiological sciences with surveillance practice and, in order to reflect the evolution of social networking practices, discusses topics concerning the challenges for surveillance theory and practice. In turn, the book goes a step further by providing insights on how we need to analyse epidemiological trends by following best practices on distinguishing useful information from noise, namely fake news, false reporting of disease incidents and events, etc. At the same time, we need to be able to protect health-focused applications and communication tools via cybersecurity technologies and to ensure that anonymity of reporting and privacy are preserved. In closing, the book discusses the role and impact of social media on disease surveillance, as well as the current role of communities in infectious disease surveillance and control.
This book aims to explore technology solutions and systems to help people in remote areas in order to improve medical care. Access to health care services is critical to good health, but residents of remote areas face a variety of access barriers. The obstacles faced by health care providers and patients in rural areas are very different from those in urban areas. This could be caused by economic factors, cultural and social differences, educational deficiencies, lack of recognition by legislators, and the sheer isolation of living in inland areas, all of which conspire to create health care disparities and hinder people living in inland areas in their struggle to lead normal, healthy lives. Based on available analyses, further progress is needed to promote appropriateness of care, address geographic imbalances in health care use, and prevent the spread of risk factors including chronic diseases and regular health problems. To eradicate these problems, it is essential to develop a telemedicine system with ICT integration that will help patients in inland areas by using contemporary technologies: it would thus be possible for patients to meet their goals using these systems even without the presence of a physician since authenticated prescriptions are generated by doctors and can be transmitted to patients electronically. The volume will contain a number of ideas from researchers who are already working to find solutions and will give insights into exploring innovative methods and new systems developed. |
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