John Glaser has been an astute observer and recognized leader in the health care industry for over thirty years. He has written a regular column for Hospitals & Health Networks in which he comments on a wide range of topics, including improving organizational performance through health information technology (HIT), changes in HIT architecture, challenges in leveraging data, and the evolution of the role of IT leadership. Glaser on Health Care IT: Perspectives from the Decade that Defined Health Care Information Technology is a collection of some of the most widely read articles that have been published in H&HN Daily, H&HN Weekly, and Most Wired Online in the past decade (2005-2015). The columns are dated to show their original publication dates, and the material is organized into four broad themes: HIT Applications and Analytics Challenges Improving Organizational Performance through HIT IT Management Challenges HIT Industry Observations Each section offers readers an intimate look at the myriad issues associated with getting IT "right" and the organizational performance gains that can be achieved in doing so. Moreover, the book examines the power and potential of the technologies available to health care providers today, as well as the transformative nature of those we have yet to fully embrace. From seasoned CIOs and consultants to software developers and nurses, this book provides invaluable insights and guidance to all those seeking to make the delivery of care safer, more effective, and more efficient through the application of health care IT. Foreword by Russ Branzell, President and CEO, College of Healthcare Information Management Executives (CHIME) Co-published with Health Forum, Inc.

Presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research Offers a compendium of current and emerging machine learning paradigms for healthcare informatics and reflects on the diversity and complexity through the use of case studies Provides a panoramic view of data and machine learning techniques and provides an opportunity for novel insights and discovers Explores the theory and practical applications of machine learning in healthcare Includes a guided tour of machine learning algorithms, architecture design, and applications and in interdisciplinary challenges

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

Semiconductor lasers are small, reliable, low cost, high-performance and user-friendly optical devices which make them highly suitable for a variety of biomedical applications. This edited book gathers experts in the field to cover the fundamentals and technology advances of semiconductor lasers and diode-based lasers with a focus on their applications in medical optics and biophotonics including edge-emitting semiconductor lasers and light emitting diodes, Q-switched and mode-locked lasers, quantum cascade lasers, semiconductor disk lasers, near-infrared spectroscopy systems for biomedical applications, bio-medical Raman spectroscopy, nonlinear imaging and optical coherence tomography.

Design Engineering and Science teaches the theory and practice of axiomatic design (AD). It explains the basics of how to conceive and deliver solutions to a variety of design problems. The text shows how a logical framework and scientific basis for design can generate creative solutions in many fields, including engineering, materials, organizations, and a variety of large systems. Learning to apply the systematic methods advocated by AD, a student can construct designs that lead to better environmental sustainability and to increased quality of life for the end-user at the same time reducing the overall cost of the product development process. Examples of previous innovations that take advantage of AD methods include: * on-line electric vehicle design for electric buses with wireless power supply; * mobile harbors that allow unloading of large ships in shallow waters; * microcellular plastics with enhanced toughness and lower weight; and * organizational changes in companies and universities resulting in more efficient and competitive ways of working. The book is divided into two parts. Part I provides detailed and thorough instruction in the fundamentals of design, discussing why design is so important. It explains the relationship between and the selection of functional requirements, design parameters and process variables, and the representation of design outputs. Part II presents multiple applications of AD, including examples from manufacturing, healthcare, and materials processing. Following a course based on this text students learn to create new products and design bespoke manufacturing systems. They will gain insight into how to create imaginative design solutions that satisfy customer needs and learn to avoid introducing undue complexity into their designs. This informative text provides practical and academic insight for engineering design students and will help instructors teach the subject in a novel and more rigorous fashion. Their knowledge of AD will stand former students in good stead in the workplace as these methods are both taught and used in many leading industrial concerns.

This new volume outlines methods of monitoring growth and weight gain, an essential clinical service. The alternative methods described here will be of particular use to workers in Third World countries where the cost of scales as well as illiteracy and cultural differences make weight-plotting especially difficult. Readers will find outlines of such innovative methods as the use of arm growth tape, simplified techniques of weight plotting, and helpful algorithms for decision-making. Among the book's appendices is a point system for comparative evaluation of weighing scales. Many illustrations help clarify the material presented in the text, making this book valuable in the classroom as well as in the field.

The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain. These technologies offer fast communication between doctors and patients, protected transactions, safe data storage and analysis, immutable data records, transparent data flow service, transaction validation process, and secure data exchanges between organizations. Features: * Discusses the Integration of AI, IoT, big data and blockchain in healthcare industry * Highlights the security and privacy aspect of AI, IoT, big data and blockchain in healthcare industry * Talks about challenges and issues of AI, IoT, big data and blockchain in healthcare industry * Includes several case studies It is primarily aimed at graduates and researchers in computer science and IT who are doing collaborative research with the medical industry. Industry professionals will also find it useful.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way.

This book provides complete, systematic coverage of the methods of electrical stimulation of the brain, a technique used by many psychologists and physiologists to study the neural organization of behavior-producing systems. It includes discussion of the fundamental principles and gives readers an in-depth treatment of current issues and brain stimulation tactics. Useful to physiological psychologists, neurophysiologists, and graduate students, Principles of Brain Stimulation contains full coverage of refractory periods, spatial effects, and two-electrode stimulation, as well as unique appendix materials on paired-pulse stimulation of axon bundles along with practical notes. This is an especially valuable guide for use in the laboratory or in laboratory courses.

Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied computing is the use of practical computer science knowledge to enable use of the latest technology and techniques in a variety of different fields ranging from business to scientific research. One of the most important and relevant areas in applied computing is the use of artificial intelligence (AI) in health and medicine. Artificial intelligence in health and medicine (AIHM) is assuming the challenge of creating and distributing tools that can support medical doctors and specialists in new endeavors. The material included covers a wide variety of interdisciplinary perspectives concerning the theory and practice of applied computing in medicine, human biology, and health care. Particular attention is given to AI-based clinical decision-making, medical knowledge engineering, knowledge-based systems in medical education and research, intelligent medical information systems, intelligent databases, intelligent devices and instruments, medical AI tools, reasoning and metareasoning in medicine, and methodological, philosophical, ethical, and intelligent medical data analysis.

Discusses various aspects of digitization of healthcare systems Examines deployment of machine learning including IoT and medical analytics Provides studies on the design, implementation, development, and management of intelligent healthcare systems Includes sensor-based digitization of healthcare data Reviews real-time advancements and challenges of digital communication in the field of healthcare

Presents key aspects in the development and the implementation of machine learning and deep learning approaches towards developing prediction tools, models, and improving medical diagnosis Discusses recent trends innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines deep learning theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities

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.

Teledentistry is of growing interest to the healthcare world. Over the last few years, momentum is growing in research and service in Teledentistry - mostly carried out by tertiary medical institutes across the world. While Teledentistry is advanced in some sub-specialties, it has high potential to receive more attention from general communities, dentists, dental hygienists, physicians, nurses, researchers and students. For the first time, this book will present essential knowledge from experts in this field. They will discuss the current status of technology and service in various Telledentistry sub specialties and its future implications. Written by experts from around the globe, (i.e., from USA, Europe, Australia and Asia), this book presents technical issues and clinical applications. It includes collective experiences from dental service providers in different parts of the world practicing a wide range of Teledentistry applications. This book lays the foundations for the globalization of Teledentistry procedures, making it possible for dental service to be delivered anywhere in the world.

This third edition presents and dissects a wide variety of HIT failures so that the reader can understand in each case what went wrong and why and how to avoid such problems, without focusing on the involvement of specific people, organizations, or vendors. The lessons may be applied to future and existing projects, or used to understand why a previous project failed. The reader also learns how common causes of failure affect different kinds of HIT projects and with different results. Cases are organized by the type of focus (hospital care, ambulatory care, and community). Each case provides analysis by an author who was involved in the project plus the insight of an HIT expert. This book presents a model to discuss HIT failures in a safe and protected manner, providing an opportunity to focus on the lessons offered by a failed initiative as opposed to worrying about potential retribution for exposing a project as having failed. Access expert insight into key obstacles that must be overcome to leverage IT and transform healthcare. Each de-identified case study includes an analysis by a group of industry experts along with a counter analysis. Cases include a list of key words and are categorized by project (e.g. CPOE, business intelligence). Each case study concludes with a lesson learned section. Thought provoking commentary chapters add additional context to the challenges faced during HIT projects, from social and organizational to legal and contractual.

Tremendous growth in healthcare treatment techniques and methods has led to the emergence of numerous storage and communication problems and need for security among vendors and patients. This book brings together latest applications and state-of-the-art developments in healthcare sector using Blockchain technology. It explains how blockchain can enhance security, privacy, interoperability, and data accessibility including AI with blockchains, blockchains for medical imaging to supply chain management, and centralized management/clearing houses alongside DLT. Features: Includes theoretical concepts, empirical studies and detailed overview of various aspects related to development of healthcare applications from a reliable, trusted, and secure data transmission perspective. Provide insights on business applications of Blockchain, particularly in the healthcare sector. Explores how Blockchain can solve the transparency issues in the clinical research. Discusses AI with Blockchains, ranging from medical imaging to supply chain management. Reviews benchmark testing of AI with Blockchains and its impacts upon medical uses. This book aims at researchers and graduate students in healthcare information systems, computer and electrical engineering.

This book examines the most novel and state-of-the-art applications of biomaterials, with chapters that exemplify approaches with targeted drug delivery, diabetes, neurodegenerative diseases and cranioplasty implants. Expert contributors analyze biomaterials such as calcium phosphate, sol-gel and quenched glasses, metallic and polymer implants, bioactive glass, and polymer composites while also covering important areas such as the soft tissue replacement, apatites, bone regeneration and cell encapsulation. This book is appropriate for biomedical engineers, materials scientists, and clinicians who are seeking to implement the most advanced approaches and technologies with their patients.

Digital healthcare is heterogeneous along the entire treatment pathway, ranging from monitoring applications and artificial-intelligence-based diagnostics, to support for virtual reality surgery. Since the introduction of the Digital Health Act in Germany in early 2020, there has been a push toward digital innovative solutions, especially in the outpatient sector. This book analyzes current digital health law from an economic perspective, combining theory with real-world applications. It examines both the incentives and market access pathways for digital solutions and the price effects brought about by the new regulatory framework in Germany. Further, it discusses the difficulties in pricing due to the monopolistic BfArM register and negotiations with the association of all German health insurance companies. The book addresses a wide range of topics, including incentives for innovation, specifics of digital health applications, reimbursement and financing options for digital health solutions. Lastly, it presents an outlook for the future and a comparison between Germany and other countries, namely the USA and Japan. Given its scope, this book will appeal to scholars of health economics, healthcare management and public health, as well as practitioners and professionals in the public health sector.

This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.

Includes innovative and new approaches for IoT in medical healthcare monitoring with 5G along with future directions Discusses the fundamental concepts and analysis of IoT and 5G in smart healthcare Focuses on methods used to apply IoT in monitoring devices for diagnosing diseases and transferring data using a 5G network. Presents new points of security and privacy concerns with expectations of IoT devices in 2030 where 91 billion devices will exist with over 10 connected devices per person Provides case studies depicting applications, best practices, as well as future predictions of IoT in everyday life Illustrates user focused wearable devices such as Fitbit health monitors and smartwatches where consumers are self-managing and self-monitoring their own health and providers are able to improve the experience of care

Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly

Explores the role of Artificial Intelligence and Smart Computing in health informatics and healthcare with an emphasis on clinical data management and analysis for precise prediction and prompt action Presents cutting edge tracking, monitoring, real time assistance, and security for IoT in healthcare Discusses broadly on wearable sensors and IoT devices and their role in smart living assistance and energy conservation Describes a system mode and architecture for a clear picture of IoT in healthcare Explains the challenges and opportunities with IoT based healthcare industries and includes a study of threats, impacts, and the need of information security

Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome. This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient's clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.