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This new edition of the classic textbook provides bold and honest descriptions of the current and evolving state of US healthcare information technology. Emerging technologies and novel practice and business models are changing the delivery and management of healthcare, as innovation and adoption meet new needs and challenges, such as those posed by the recent COVID-19 pandemic. Many facets of these are presented in this volume:* The increasing mutual impact of information technology and healthcare with respect to costs, workforce training and leadership* The changing state of healthcare IT privacy, security, interoperability and data sharing through health information exchange* The rise and growing importance of telehealth/telemedicine in the era of COVID-19* Innovations and trends in the development and deployment of health IT in public health, disease modeling and tracking, and clinical/population health research* Current work in health IT as it is used in patient safety, chronic disease management, critical care, rehabilitation/long-term/home-based patient care and care coordination* "e;Brave new world"e; visions of healthcare and health IT, with forward- looking considerations of the impact of artificial intelligence, machine learning on healthcare equity and policyBuilding on the success of previous editions, this 5th edition of Healthcare Information Management Systems: Cases, Strategies, and Solutions provides healthcare professionals insights to new frontiers and to the directions being taken in the technical, organizational, business and management aspects of information technology in the ongoing quest to optimize healthcare quality and cost, and to improve universal health at all levels.

This book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023. The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data.

This book clarifies consumer and personal health informatics and their relevance to precision medicine and healthcare applications. Personal Health Informatics covers a broad definition of this emerging field, with individuals not simply consuming health but as active participants, researchers and designers in the healthcare ecosystem. The world of health informatics is constantly changing given the ever-increasing variety and volume of health data, care delivery models that shift from fee-for-service to value-based care, new entrants in the ecosystem and the evolving regulatory decision landscape. These changes have increased the importance of the role of patients in research studies for understanding work processes and activities, and the design and implementation of health information systems. Therefore, personal health informatics now provide research tools and protocols to engage within individual contexts when developing solutions, which can improve clinical practice, patient engagement and public health.  Personal Health Informatics offers a snapshot of this emerging field, supported by the methodological, practical, legal and ethical perspectives of researchers and practitioners. In addition to being a research reader, this book provides pragmatic insights for practitioners in designing, implementing and evaluating personal health informatics in healthcare settings. It represents an excellent reader for students in all clinical disciplines and biomedical and health informatics to learn from the case studies provided in this emerging field.

Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics. However, the lack Magnetic Resonance Imaging (MRI) data leads to the failure of the depth study algorithm. Medical records are often different because of the cost of obtaining information and the time spent consuming the information. In general, clinical data is unreliable and therefore the training of neural network methods to distribute disease across classes does not yield the desired results. Data augmentation is often done by training data to solve problems caused by augmentation tasks such as scaling, cropping, flipping, padding, rotation, translation, affine transformation, and color augmentation techniques such as brightness, contrast, saturation, and hue.Data Augmentation and Segmentation imaging using GAN can be used to provide clear images of brain, liver, chest, abdomen, and liver on an MRI. In addition, GAN shows strong promise in the field of clinical image synthesis. In many cases, clinical evaluation is limited by a lack of data and/or the cost of actual information. GAN can overcome these problems by enabling scientists and clinicians to work on beautiful and realistic images. This can improve diagnosis, prognosis, and disease. Finally, GAN highlights the potential for location of patient information within the data. This is a beneficial clinical application of GAN because it can effectivelyprotect patient confidentiality. This book covers the application of GANs on medical imaging augmentation and segmentation.

This textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them.With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials.

This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.

This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios.  In particular, this book presents several cutting-edge graph learning techniques that can be used for outfit compatibility modeling.  Due to its remarkable economic value, fashion compatibility modeling has gained increasing research attention in recent years.  Although great efforts have been dedicated to this research area, previous studies mainly focused on fashion compatibility modeling for outfits that only involved two items and overlooked the fact that each outfit may be composed of a variable number of items.  This book develops a series of graph-learning based outfit compatibility modeling schemes, all of which have been proven to be effective over several public real-world datasets.  This systematic approach benefits readers by introducing the techniques for compatibility modeling of outfits that involve a variable number of composing items.  To deal with the challenging task of outfit compatibility modeling, this book provides comprehensive solutions, including correlation-oriented graph learning, modality-oriented graph learning, unsupervised disentangled graph learning, partially supervised disentangled graph learning, and metapath-guided heterogeneous graph learning.  Moreover, this book sheds light on research frontiers that can inspire future research directions for scientists and researchers.  

This book introduces a maintenance model that will assist decision-makers in their choice of building maintenance policies. The model is stochastic and condition-based that analyses the impact of different maintenance strategies on the durability and performance of different buildings envelope elements (facades, windows, and roofs).  As non-structural elements, the maintenance of buildings envelope can be disregarded stakeholders. However, as first barrier to the external environment, these elements are critical to buildings' overall performance and are expected to meet aesthetic, comfort, safety, and durability requirements. The methodology presented is innovative. The maintenance model is based on a Petri net formalism and includes degradation, inspection, maintenance, and renewal processes. The model provides key information, such as: i) the impact of different maintenance strategies on the service life and durability of the building components; ii) the impact of maintenance on their performance over time; iii) the life cycle costs; and iv) the impact of maintenance on the buildings' use.  The book will be of use to a variety of professionals in the construction sector.

One of the main benefits of this book is that it presents a comprehensive and innovative eHealth framework that leverages deep learning and IoT wearable devices for the evaluation of Parkinson's disease patients. This framework offers a new way to assess and monitor patients' motor deficits in a personalized and automated way, improving the efficiency and accuracy of diagnosis and treatment.Compared to other books on eHealth and Parkinson's disease, this book offers a unique perspective and solution to the challenges facing patients and healthcare providers. It combines state-of-the-art technology, such as wearable devices and deep learning algorithms, with clinical expertise to develop a personalized and efficient evaluation framework for Parkinson's disease patients.This book provides a roadmap for the integration of cutting-edge technology into clinical practice, paving the way for more effective and patient-centered healthcare. To understand this book, readers should have a basic knowledge of eHealth, IoT, deep learning, and Parkinson's disease. However, the book provides clear explanations and examples to make the content accessible to a wider audience, including researchers, practitioners, and students interested in the intersection of technology and healthcare.

This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS). This framework is meant to enable smart operation not only in a "e;business-as-usual"e; mode, but also in extraordinary, highly volatile or hazardous environments. It is the result of convergence and deep integration into a unified, flexible and effectively implemented formalism operating on multisets of several well-known paradigms from classical operations research and modern knowledge engineering, such as: mathematical programming, game theory, optimal scheduling, logic programming and constraint programming. The mathematical background needed for MGF, its algorithmics, applications, implementation issues, as well as its nexus with known models from operations research and theoretical computer science areas are considered. The resilience and recovery issues of an STS are studied by applying the MGF toolkit and on paying special attention to the multigrammatical assessment of resilience of energy infrastructures. MGF-represented resource-based games are introduced, and directions for further development are discussed. The author presents multiple applications to business intelligence, critical infrastructure, ecology, economy and industry. This book is addressed to scholars working in the areas of theoretical and applied computer science, artificial intelligence, systems analysis, operations research, mathematical economy and critical infrastructure protection, to engineers developing software-intensive solutions for implementation of the knowledge-based digital economy and Industry 4.0, as well as to students, aspirants and university staff. Foundational knowledge of set theory, mathematical logic and routine operations on data bases is needed to read this book. The content of the monograph is gradually presented, from simple to complex, in a well-understandable step-by-step manner. Multiple examples and accompanying figures are included in order to support the explanation of the various notions, expressions and algorithms.

This book gathers the latest advances, innovations and applications in the field of sustainable construction materials and structures, as presented by leading international researchers and engineers at the 14th International scientific conference ¿Modern Building Materials, Structures and Techniques¿ (MBMST 2023), held in Vilnius, Lithuania, on 5¿6 October 2023. It covers topics such as modern building materials and their production technologies; investigation and design of reinforced concrete, steel, glass, timber and composite structures; innovative calculation techniques for bridges; geotechnics; new building technologies and management; and building information modelling. The contributions, which were selected through a rigorous international peer-reviewed process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Denne bog giver dig alt, hvad du behøver at vide for at komme i gang med Lightroom Classic i 2023-udgaven og tidligere udgaver - også hvis du er en helt ny bruger af Lightroom Classic. Når du er i gang med Lightroom Classic og har installeret programmet, oprettet databasen og har importeret alle dine original-billeder, så du undgår tomme links, så kan du fortsætte og komme videre med, hvordan du håndterer, organiserer og søger efter billeder m.m.I anden halvdel af bogen lærer du om de mange muligheder, du har for at billedbehandle dine billeder i Lightroom Classic. Alle former for billedbehandling bliver gennemgået i bogen også de mere avancerede muligheder samt AI-baserede funktioner. Billedbehandlingen er fantastisk og ikke destruktiv – dine original-filer ændres aldrig, medmindre du selv sletter nogle manuelt i Lightroom Classic.Hvis der er billedbehandlings-opgaver, du vil løse i Photoshop, hvor du kan arbejde med lag, kan du kan nemt overføre et billede til Photoshop og synkronisere det tilbage i Lightroom Classic, når du er færdig med at redigere billedet. Det kræver, at Photoshop er installeret på din computer.Se mere om indholdet i bogen i indholdsfortegnelsen.

This book collects contributions of forefront research and practices related to the use of the enabling technologies of Industry 4.0 in the architecture and design fields and their impact on the UN's Sustainable Developments goals. The book is structured into three sections (research, practice, and technologies), with the goal of creating a new framework useful for widespread awareness necessary to initiate technology transfer processes for the benefit of the public sector, universities, research centers, and innovative companies, and a new professional figure capable of controlling the entire process is essential. Thus, the book chapters arouse a series of relevant topics such as computational and parametric design, performance-based architecture, data-driven design strategies, parametric environmental design and analysis, computational and parametric structural design and analysis, AI and machine learning, BIM and interoperability, VR and AR, digital and robotic fabrication, additive manufacturing and 3D printing, R&D and entrepreneurship, circular architecture, and didactics. In the post-digital era, where the essence of design lies in the control and information of the process that holistically involves all the aspects mentioned above, rather than in formal research, it is necessary to understand technologies and analyze the advantages that they can bring in terms of environmental sustainability and product innovation.

This book gathers extended contributions to the workshop on Long-Term Digital Care, LTC-2021, organized by the Universita Politecnica delle Marche (UNIVPM), Ancona, Italy, and the Hochschule Konstanz (HTWG), Germany, in November 2021, and funded by the DAAD Joint Mobility Program. It covers innovative, practice-oriented approaches that are expected to foster digital health care, with a special focus on improving internationalization and accessibility. The book, which  bridges between technological and social disciplines, reports on selected studies with the main goals of: establishing a comparison of Long-Term Digital Care approaches, with focus on exchange and networking processes; defining practical roadmaps for digital social innovation; establishing concepts and methods for process evaluation and sustainability.  It offers a timely snapshot on technologies for patient monitoring and assistant systems, medical data analysis and image processing, digital platforms and advanced diagnostics techniques, and discusses important concepts relating to traceable process evaluation, networking and accessibility.  It aims at informing, yet it is also intended to inspire and foster a stronger collaboration across disciplines, countries, as well as academic and professional institutions.

This book is a foundational resource on how to create, implement and maintain a successful healthcare technology training program. It demonstrates the impact of efficient and effective training, and underscores the importance of high-quality content, emphasizing the need to base training on a framework of contemporary learning science to support interactive and relevant training experiences. Details of the latest educational technologies are provided along with instructions on how to implement and maintain appropriate training courses for optimal informatics outcomes.Healthcare Technology Training: An Evidence-based Guide for Improved Quality provides a valuable and comprehensive resource for implementing and maintaining a successful training program by providing a unique all-in-one reference tool with examples and scenarios tailored to informaticians and all healthcare users of technology.

The neurosurgical, surgical and medical training and practice models have to keep up with the technological revolution in the 21st Century as our lives changed on a swift base. Making bioethics and metacognition a cornerstone in medical education and practice will flourish our humane societies.Metacognition is thinking about one's thinking, to plan, monitor and assess one's understanding and performance. By adherence to medical ethics and Values-Based Medicine (VsBM) as guiding principles, we can develop benevolent medical practice. To enhance knowledge application, skills, and character qualities in realms beyond the immediate context in which they were learned. In this book, we developed a framework on how to evolve medical education and training by utilizing hi-tech. We divided the book into five principal components; Current and traditional root analysis of the learning process, Ethics and metacognition of education, learning and career development, Obstacles, difficulties and setbacks in learning and career development process, Learning in the digital era, and Mentorship.The author believes we are entering a new era of information technology, which will have a significant impact on the education, sciences, strategies and philosophy. Therefore, in preparation for this colossal transformation, the author brings together the best brains in the neurosurgical field from around the globe. Twenty distinguished Professors of Neurosurgery and educators from Canada, the USA, Colombia, the UK, Italy, the Netherland, India, Japan, China, Rwanda, Egypt and Saudi Arabia gathered their experiences and thoughts in this book to shade light on an evolving world that will be the norm in near future.

This book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23¿24, 2023.The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems.

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.

The three-dimensional structure and function of molecules present many challenges and opportunities for developing an understanding of biological systems. With the increasing availability of molecular structures and the advancing accuracy of structure predictions and molecular simulations, the space for algorithmic advancement on many analytical and predictive problems is both broad and deep. To support this field, a rich set of methods and algorithms are available, addressing a variety of important problems such as protein-protein interactions, the effect of mutations on protein structure and function, and protein structure determination. Despite recent advancements in the field, in particular in protein folding with the development of AlphaFold, many problems still remain unsolved.In this book we focus on a number of topics in Structural Bioinformatics: Cryo-EM structural detection, protein conformational exploration, elucidation of molecular binding surface using geometry, the effect of mutations, insertions and deletions on protein structural stability, and protein-ligand binding.

Nichts bleibt, wie es wird!Das macht etwas schwer greifbar und ist plötzlich weg.Nichts wird wie gedacht;Es ist nicht möglich, etwas auf vukaner Basis vorherzusagen.Nichts lässt sich denken, wie es ist;Es ist nicht möglich, etwas dynamisch-veränderlich Unfassbares zu übersehen.Nichts ist, wie es scheint.Es ist nicht möglich, etwas Mehrdeutiges zu klären.Alles beschleunigt sich. Der Blick in die Zukunft wird immer unberechenbarer. Zu viele Daten verhindern den Durchblick. Was bleibt ist mehrdeutig. Das vorliegende Buch beschreibt die neue Welt der Vukanität. Es geht um die Unterschiede zwischen FASE- und VUKA-Welt, die Auswirkungen auf unseren Alltag, den Einfluss unserer Wahrnehmung auf das Führen und Entscheiden und die drei Metaphern: Welt als Maschine, Welt als Organismus und Welt als Schaum.

User care at home is a matter of great concern since unforeseen circumstances might occur that affect people's well-being. Technologies that assist people in independent living are essential for enhancing care in a cost-effective and reliable manner. Assisted care applications often demand real-time observation of the environment and the resident's activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the user care system in the literature to identify current practices for future research directions. Therefore, this book is aimed at a comprehensive review of data sources (e.g., sensors) with machine learning for various smart user care systems. To encourage the readers in the field, insights of practical essence of different machine learning algorithms with sensor data (e.g., publicly available datasets) are also discussed. Some code segments are also included to motivate the researchers of the related fields to practically implement the features and machine learning techniques. It is an effort to obtain knowledge of different types of sensor-based user monitoring technologies in-home environments. With the aim of adopting these technologies, research works, and their outcomes are reported. Besides, up to date references are included for the user monitoring technologies with the aim of facilitating independent living.Research that is related to the use of user monitoring technologies in assisted living is very widespread, but it is still consists mostly of limited-scale studies. Hence, user monitoring technology is a very promising field, especially for long-term care. However, monitoring of the users for smart assisted technologies should be taken to the next level with more detailed studies that evaluate and demonstrate their potential to contribute to prolonging the independent living of people. The target of this book is to contribute towards that direction.

This book provides an overview of the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system.  With the arrival of advanced technologies, telehealth has become a new subject, requiring a different understanding of IT devices and of their use, to fulfill health needs. Different topics are discussed - from the basics of TeleMedicine,  to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology. The use of IoT and cloud services along with the use of blockchain technology in TeleMedicine are also discussed. Detailed information about the use of machine learning and computer vision techniques for the proper transmission of medical data -  keeping in mind the bandwidth of the network - are provided. The book will be a readily accessible source of information for professionals working in the area of information technology as well as for the all those involved in the healthcare environment.

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.

This book provides an insight on the importance that the Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can offer towards smart city and healthcare applications. The book features include elaboration of recent and emerging developments in various specializations of curing health problems; smart transportation systems, traffic management for smart cities; energy management, deep learning and machine learning techniques for smart health and smart cities; and concepts that incorporate the Internet of Everything (IoE). The book discusses useful IoE applications and architectures that cater to critical knowledge creation towards developing new capacities and outstanding economic opportunities for businesses and the society.

Performing any diagnostic test in medicine is always a matter of trying to get the condition of the patient diagnosed properly with the least effort, exposure, discomfort and at the same time with the lowest possible error probability.Pre-test probability is helpful but often imprecise, effectively overestimating the patient's risk profile. In a broader prevention objective, the phases of a disease, its onset, progression, and complications must be taken into account. The negative predictive value, which is so important, has in turn its main limitation in identifying the healthy patient, that is, the one who does not belong to any cluster of patients in which we would act in terms of prevention. In coronary syndromes, the goal is instead to evaluate coronary heart disease, from mild to more extensive and significant forms. For this purpose, it is necessary to use parameters that investigate different and complementary aspects: stenosis, ischemia, the morphology of the atherosclerotic plaque, metabolic processes, in particular vitality and apoptosis, the presence of inflammatory processes. The possibility, already present thanks to Hybrid Imaging, of 'joining' exams that study different aspects, will allow the patient to be increasingly characterized not only from a diagnostic point of view but also from a prognostic and personalized therapeutic choice.

Dieses Fachbuch demonstriert das Potenzial Künstlicher Intelligenz (KI) im Bauwesen. Die rasant wachsende Menge an Daten sowie die in Bauprojekten eingesetzte Hard- und Software bilden die Grundlage für projektübergreifende und vorausschauende Analysen, die u.a. durch Ansätze des maschinellen Lernens und der Robotik ermöglicht werden.Die einzelnen Beiträge dieses Buches geben einen allgemeinen Überblick über Methoden der Künstlichen Intelligenz (KI) und veranschaulichen deren Einsatz im Bauwesen anhand konkreter Anwendungsfälle aus Forschung und Praxis. KI-Methoden versprechen hier sowohl Effizienzgewinne und Fehlerreduzierung durch Automatisierung repetitiver Tätigkeiten als auch völlig neue Möglichkeiten der Entscheidungsunterstützung in Bauplanung, -ausführung und -betrieb. Die Publikation richtet sich insbesondere an Führungskräfte und Fachexperten der Bauwirtschaft, die mit KI-Methoden eine nachhaltige Verbesserung ihrer Unternehmensprozesse erreichen wollen.

This book reveals the power of digital twin technologies in terms of optimizing the performance and maintenance of infrastructure assets. From roads, bridges, and tunnels to airports and smart cities, it will guide you through the latest advances in and use cases on this cutting-edge technology. You will come to understand the challenges involved in the development of digital twins and learn about the initiatives and projects underway to overcome them. Explore the potential of this technology in terms of reducing costs, improving system performance, and enhancing the overall infrastructure experience for users. Get ready to embark on a journey of understanding the future of transportation infrastructure management with digital twin technologies.