This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings. In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? The book will cover the WHY-SOs.

"True wellness innovation requires the recruitment of multi-disciplinary participants. This book breaks the mold with examples from healthcare experts and other professionals who have leveraged informatics to better the lives of their constituents." - Jason Helgerson, Founder & CEO, Helgerson Solutions Group LLC Developed for those training in academic centers as well as for those already "out in the field," this book looks at how attorneys, behavioral health experts, business development experts, chief information officers, chief medical officers, chief nursing information officers, consumer advocates, cryptographic experts, futurists, geneticists, informaticists, managed care executives, nurses, pharmacists, physicians, public health professionals, software developers, systems security officers, and workforce experts are collaborating on a "team-based," IT-enabled approach to improve healthcare.

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.

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.

This book presents models describing HIV transmission rates at population level, discussing the main statistical methods and analytical interventions. It also assesses the practical applicability of the various modelling techniques, offering readers insights into what methods are available and, more importantly, when they should be used to address HIV transmission at global level. The book includes realistic simulation models fitted to clarify the rate of HIV mother-to-child transmission (HIV MTCT), and substantiates the conclusions that can be drawn as well as the appropriate time for making global-level clinical decisions concerning people living with HIV/AIDS (PLHIVs). Intended for students, academics and researchers, the book offers more than just an introduction to the topic - it also features in-depth, yet easy-to-understand, descriptions of a new mathematical/statistical HIV mother-to-child transmission model, making it a useful resource for clinicians, public health workers and policymakers involved in implementing HIV-prevention programmes at national /global level.

At the cross-roads of biology, microfluidics and photonics the field of optofluidics allows for quick and compact solutions for medical and biochemical sensing and manipulation. This book is concerned with the ingredients for a polymer-based platform which is able to culture and pattern life cells for a sufficient period of time, enables the integration of photonic devices, and provides means to integrate electronic readout. Thus - in its cross-discipline approach - it touches on aspects of photonics, nanofabrication, and biological methods alike.

Contents: Signed Distance Transform.- Subjective Level Sets.- Level Set application to BioFilms.- Level Set Shape Models.- Real-time level set implementation including software and hardware architectures.-A Level Sets Formulation for Dual Snakes Model.- Object Tracking Combining Hausdorff Distance, HSV Histogram and Nonextensive Entropy.- Extrapolation Techniques For Finite Element Method.- GVF vs. Level Set.- Level Set Registration.- Active Shape and Appearance Modesl for Facial Image Analysis.- PDE-Based Three Dimensional Path Planning For Virtual Endoscopy.- Application of Level sets in Medical Virtual Reality, Virtual Reality, Visualization and Imaging Research Centre.

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.

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

The Tourniquet Manual - principles and practice provides a comprehensive and detailed account of the safe use of the tourniquet by using a physiological approach which ensures good practice. Starting from a historical background the reader learns the detailed effects of ischaemia on the vulnerable tissues, especially muscle and nerve. The effects of releasing the tourniquet on the systemic circulation and the complicated biochemistry of the ischaemia-reperfusion response are explained. Complications and good practice are discussed. There is a chapter on the latest technological advances in tourniquets. This book provides a coherent account of the subject and is an invaluable source of references. It will help avoid medicolegal problems and promote good practice by surgeons, anaesthetists and operation theatre technicians alike and should be in every theatre office.

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.

Covers computational Intelligence techniques like fuzzy sets, artificial neural networks, deep neural networks, and genetic algorithm for Healthcare systems Provides easy understanding concepts like signal and image filtering techniques Includes discussion over filtering and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-rays, FMRI, CT) datasets Describes evolution parameters such as signal-to-noise ratio, mean square error, accuracy, precision, and recall

Provides a comprehensive overview on the recent developments on clinical decision support systems, precision health and data science in medicine Examines the advancements, challenges and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Reviews melanoma detection by deep learning techniques

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 introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media's role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

Pulsed electric fields have been applied to living systems in vitro for a host of delivery applications since the early 1980s. It has been established that the primary effect that electrical treatment has on cells is an induced increase in the permeability of membranes to exogenous molecules. This state of increased permeability was noted to be temporary and could be induced with little or no effect on cell viability. This physical phenomenon was termed electroporation. Numerous published studies have shown that electroporation can be applied to any cell type. These studies also exploited the phenomenon to deliver drugs, DNA, antibodies, proteins, and fluorescent molecules. The use of electricity to mediate delivery of these molecule types in vitro has proven to be an invaluable research tool for biological and biomedical scientists. Many of the in vitro applications for electrically mediated delivery have tremendous potential for the treatment of human disease. For example, the ef- cient delivery of drugs and plasmid DNA has strong implications for improving standard therapies, as well as gene therapies. This potential was realized about 12 years ago when electric pulses were used to deliver drugs to tumor cells in vivo. Since then, the utility of in vivo electroporation for the delivery of m- ecules has been demonstrated through new applications that have been developed with increasing frequency each year. Electrochemotherapy, Electrogenetherapy, and Transdermal Drug Delivery: Electrically Mediated Delivery of Molecules to Cells provides review and protocol chapters that completely cover this relatively new scientific discipline.

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

A collection of cutting-edge laboratory techniques for the study of trophoblast and placental biology. The techniques presented range from experimental animal models, to animal and human placental organ and cell culture systems, to morphological, biochemical, and molecular strategies for assessing trophoblast/placental growth, differentiation and function. Volume 1 provides readily reproducible protocols for studying embryo-uterine implantation, trophoblast cell development, and the organization and molecular characterization of the placenta. Highlights include strategies for the isolation and culture of trophoblast cells from primates, ruminants, and rodents, and precise guidance to the molecular and cellular analysis of the placental phenotype. A companion second volume concentrates on methods for investigating placental function.

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.

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

Biomedical devices that contact with blood or tissue represent a wide range of products. Depending on their potential harm to a body, medical devices are categorized according to the degree, so their safety can be assured. All biomaterials are by definition designed to contact with a body for a certain period of time. The nature of the body contact, as well as the duration a material contacts with the body may initiate unwanted biological In comparison with invasive devices Oike catheters and medical responses. implants contact directly with tissue or with the circulating blood) non invasive devices (like wound-dressings and contact lenses contact with the skin, the sclera, and the mucosa or with open wounds) have a lesser risk of hurting a patient. When blood contacts with a foreign material, plasma proteins become absorpted to the surface within a few seconds. The reactions that follow, the so-called intrinsic pathway lead to the formation of fibrin and activation of platelets and white blood cells, result in blood clot formation."

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

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.

ECHNOLOGICAL PROSPECTS AND SOCIAL APPLICATIONS SET Coordinated by Bruno Salgues There are many controversies with respect to health crisis management: the search for information on symptoms, misinformation on emerging treatments, massive use of collaborative tools by healthcare professionals, deployment of applications for tracking infected patients. The Covid-19 crisis is a relevant example about the need for research in digital communications in order to understand current health info communication. After an overview of the challenges of digital healthcare, this book offers a critical look at the organizational and professional limits of ICT uses for patients, their caregivers and healthcare professionals. It analyzes the links between ICT and ethics of care, where health communication is part of a global, humanistic and emancipating care for patients and caregivers. It presents new digitized means of communicating health knowledge that reveal, thanks to the Internet, a competition between biomedical expert knowledge and experiential secular knowledge.