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The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers'issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems'design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.

COVID-19 accelerated healthcare's transition towards digital technology since it helped expand the capacity of healthcare organizations (HCOs) through extended patient access and isolation. In addition to HCOs, this transition was adopted by other participants in the healthcare ecosystem, such as independent digital health platform (DHP) vendors, self-insured employers, drug chains/pharmacy benefit managers, and insurance companies. It was not long before independent DHPs, payers, and self-insured employers realized the value of digital technology, so they increased their commitment towards this transition.The goal of this book is to help HCOs understand, prepare, implement, and leverage digital transformation. The book opines that, to be successful, digital transformation must be led and supported by senior management. Equally important is the cultural transformation of HCOs towards successful change management, which requires an evolutionary approach to continuous process improvements of increasing scope and complexity. Next, HCOs must generate a comprehensive digital transformation roadmap that aligns with their strategic plan for enhancing clinical and related capabilities while improving patient engagement. To accomplish their digital transformation, HCO management and key stakeholders must comprehend and meet prerequisite requirements for: digital health platforms, advanced information technology, and work transformation methodologies. DHPs, and associated hardware and software complements, form the foundation of digital health technologies prevalent in modern-day healthcare and have gained increasing importance since COVID-19. Advanced information technology includes concepts vital to healthcare transformation such as EHRs, interoperability, big data, artificial intelligence, natural language processing, data security, and privacy. Lastly, work transformation methodologies address work redesign that incorporates different levels of process improvements and phases of digital transformation, lean/six sigma, agile methodologies, and human factors engineering to ensure well-designed interfaces for care providers and patients.The overarching goal of this book is to provide a roadmap for US healthcare towards an organized digital transformation which will lead to improved outcomes, reduced costs, and improved patient satisfaction.

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a useful guide to identify, categorise and assess the role of different soft computing techniques for disease, diagnosis and prediction due to technological advancements.The book explores applications in soft computing and covers empirical properties of artificial neural network (ANN), evolutionary computing, fuzzy logic and statistical techniques. It presents basic and advanced concepts to help beginners and industry professionals get up to speed on the latest developments in soft computing and healthcare systems. It incorporates the latest methodologies and challenges facing soft computing, examines descriptive, predictive and social network techniques and discusses analytics tools and their role in providing effective solutions for science and technology. The primary users for the book include researchers, academicians, postgraduate students, specialists and practitioners.Dr. Ashish Mishra is a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur, Madhya Pradesh, India. He has contributed in organising the INSPIRE Science Internship Camp. He is a member of the Institute of Electrical and Electronics Engineers and is a life member of the Computer Society of India. His research interests include the Internet of Things, data mining, cloud computing, image processing and knowledge-based systems. He holds nine patents in Intellectual Property, India. He has authored four books in the areas of data mining, image processing and LaTex.Dr. G. Suseendran is an assistant professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. His research interests include ad-hoc networks, the Internet of Things, data mining, cloud computing, image processing, knowledge-based systems, and Web information exploration. He has published more than 75 research papers in various international journals such as Science Citation Index, Springer Book Chapter, Scopus, IEEE Access and UGC-referred journals. Prof. Trung-Nghia Phung is an associate professor and Head of Academic Affairs, Thai Nguyen University of Information and Communication Technology (ICTU). He has published more than 60 research papers. His main research interest lies in the field of speech, audio, and biomedical signal processing. He serves as a technical committee program member, track chair, session chair, and reviewer of many international conferences and journals. He was a co-Chair of the International Conference on Advances in Information and Communication Technology 2016 (ICTA 2016) and a Session Chair of the 4th International Conference on Information System Design and Intelligent Applications (INDIA 2017).

Connected Health is the most dynamic phenomenon in healthcare technology today. From smartphones and tablets to apps, body sensors and telemedicine, Connected Health promises to stir foundational shifts in healthcare quality and delivery. This is a watershed moment in healthcare – the Connected Health ecosystem is dramatically impacting healthcare's stakeholders, from patients to C-Suite executives, and is delivering on the tri aim: quality care, coordination and cost savings.This new book conducts a focused examination of wearables as an explosive niches of the Connect Health market. Covering a range of issues from wearable applications in the consumer and provider spaces, to emerging technology solutions and hurdles to successful deployment, this book also provides an engaging discussion about wearables as a change agent of healthcare delivery. The discussion continues with and examination of the interplay between solutions like wearables in the Healthcare Internet of Things ('IoT') landscape.The book also explores the scope and trajectory of the Connected Health ecosystem through a combination of expert commentary and selected case studies. It serves as an educational resource as well as a practical guide in strategizing and executing a Connected Health market and product strategy.

Healthcare Technology Management: A Systematic Approach offers a comprehensive description of a method for providing safe and cost effective healthcare technology management (HTM). The approach is directed to enhancing the value (benefit in relation to cost) of the medical equipment assets of healthcare organizations to best support patients, clinicians and other care providers, as well as financial stakeholders. The authors propose a management model based on interlinked strategic and operational quality cycles which, when fully realized, delivers a comprehensive and transparent methodology for implementing a HTM programme throughout a healthcare organization. The approach proposes that HTM extends beyond managing the technology in isolation to include advancing patient care through supporting the application of the technology. The book shows how to cost effectively manage medical equipment through its full life cycle, from acquisition through operational use to disposal, and to advance care, adding value to the medical equipment assets for the benefit of patients and stakeholders. This book will be of interest to practicing clinical engineers and to students and lecturers, and includes self-directed learning questions and case studies. Clinicians, Chief Executive Officers, Directors of Finance and other hospital managers with responsibility for the governance of medical equipment will also find this book of interest and value. For more information about the book, please visit the website.

This book disentangles the issues in connection with the advancement of Health Technology Assessment (HTA) and its interface with health policy. It highlights the factors that should shape its progress in the near future. Interdisciplinary and critical views from a number of professionals are put together in a prescient order to cast some light and make recommendations as to the next steps HTA should take to be fit for purpose. A wealth of documents dealing with HTA have been published over the last three decades. HTA allegedly is one of the bedrocks of regulation and medical decision making. However, counter vailing visions contend that geographical variations in the role that HTA is actually playing within countries pinpoints specific room for improvement. Given our social preferences, cherry-picking HTA's features and successes over the last decades moves it away from its possibility frontier. Some of the most noteworthy hindrances that HTA faces, in several countries, to making headway towards its consolidation as an efficient tool for regulation and decision making are as follows: insufficient resources, delays in assessment, inadequate priority setting, regulatory capture, public distrust, actual influence on regulatory decisions, the need for strengthening international cooperation and harmony, the lack of sound and consistent assessments of diagnostic tests, medical devices and surgical innovations and limited dissemination. Time has come for HTA to take a renewed stand. There is a pressing need to submit HTA to in-depth critical scrutiny.

This monograph discusses challenges faced during the implementation of national eHealth programs. In particular, it analyzes the causes of stakeholders'reluctance to adopt these technologies by drawing on user resistance theory and context specific variables. Taking the example of the introduction of the electronic health card (Elektronische Gesundheitskarte – eGK) technology in Germany, the book presents insights into why these programs are often lengthy, costly and have previously been met with fierce resistance from key stakeholders. It also presents a quantitative and qualitative study of individual physicians'resistance behavior towards these new eHealth technologies.

The term health technology refers to drugs, devices, and programs that can improve and extend quality of life. As decision-makers struggle to find ways to reduce costs while improving health care delivery, health technology assessments (HTA) provide the evidence required to make better-informed decisions.This is the first book that focuses on the s

In his highly regarded blog, Life as a Healthcare CIO, John Halamka records his experiences with health IT leadership, infrastructure, applications, policies, management, governance, and standardization of data. But he also muses on topics such as reducing our carbon footprint, sustainable farming, mountain climbing, being a husband, father and son

Know What to Expect When Managing Medical Equipment and Healthcare Technology in Your OrganizationAs medical technology in clinical care becomes more complex, clinical professionals and support staff must know how to keep patients safe and equipment working in the clinical environment. Accessible to all healthcare professionals and managers, Medica

While the interdisciplinary field of materials science and engineering is relatively new, remarkable developments in materials have emerged for biological and medical applications, from biocompatible polymers in medical devices to the use of carbon nanotubes as drug delivery vehicles. Exploring these materials and applications, Materials in Biology

First in a new series on economic issues in the context of health care policy, Health Technology Assessments by the National Institute for Health and Clinical Excellence examines Britain's highly acclaimed approach to cost-effectiveness analysis (CEA), and its international potential. The National Institute for Health and Clinical Excellence (NICE) has been regarded as a role model for the implementation of CEA, and is being closely watched by health care policy makers throughout Europe, and in the United States. This volume dissects the robustness of the agency's technology appraisal processes as NICE evaluates innovative methods for diagnosis and intervention. Given the unique features of attention-deficit/hyperactivity disorder (ADHD)—starting with it being diagnosed mainly in children and adolescents, its high comorbidity with other psychiatric conditions, and its considerable economic impact—the disorder is a perfect focal point for discussion.

Molecular nanotechnology has been defined as the three-dimensional positional control of molecular structure to create materials and devices to molecular precision. The human body is comprised of molecules, hence the availability of molecular nanotechnology will permit dramatic progress in human medical services. More than just an extension of'molecular medicine,'nanomedicine will employ molecular machine systems to address medical problems, and will use molecular knowledge to maintain and improve human health at the molecular scale. Nanomedicine will have extraordinary and far-reaching implications for the medical profession, for the definition of disease, for the diagnosis and treatment of medical conditions including aging, for our very personal relationships with our own bodies and ultimately for the improvement and extension of natural human biological structure and function. This book will be published in three volumes over the course of several years. Readers wishing to keep up-to-date with the latest developments may visit the nanomedicine website maintained by the Foresight Institute (http://foresight.org/Nanomedicine/index.html).