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This essential book reviews how digital health ventures can be integrated with more traditional techniques to revolutionize the healthcare system. Details of the current state of the digital marketplace, the available tools for early detection and diagnostics that presently employ digital technologies are provided. Relevant aspects of blockchain, artificial intelligence including data lake development and data analytics are described. The role of regulators and legislation including GDPR are also covered. Hybrid Healthcare provides a thorough overview of how digital health entrepreneurs will need to employ a hybrid approach to address many healthcare challenges of the 21st century. It is therefore an indispensable resource for all those seeking to develop their knowledge of this rapidly growing sector.
This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
This book offers an overview of service design practices for healthcare and hospital management. It explores how these practices can help to generate innovations in healthcare and contribute to the improvement of patient-centered care. Respected experts, including scholars from various disciplines and practitioners from healthcare institutions, share essential insights into established research areas, fields of work and work structures, and discuss successful approaches, methods and tools. By illustrating innovative services, products, processes, systems, and technologies, as well as their application in practice, the authors highlight the role of participating stakeholders in service design projects and the added value that comes from sharing, communicating, networking and collaborating. This book is a must-read for scholars and practitioners in the hospital and healthcare sector. It will also appeal to anyone interested in organizational development, service business model innovation, customer involvement and perceptions, and service experience.
This work deals with hybrid value creation, i.e., the process of generating additional value by innovatively combining products (tangible component) and services (intangible component). Vivek K. Velamuri provides a systematic assessment of the state-of-the-art of the field and identifies empirically derived strategies for hybrid value creation. In addition, it helps practitioners to come to grips with understanding the dynamics of hybrid value creation, irrespective of the industry they are in. At the same time directions for future research are identified and provided.​
Millions of low-income African Americans in the United States lack access to health care. How do they treat their health care problems? In Health Care Off the Books, Danielle T. Raudenbush provides an answer that challenges public perceptions and prior scholarly work. Informed by three and a half years of fieldwork in a public housing development, Raudenbush shows how residents who face obstacles to health care gain access to pharmaceutical drugs, medical equipment, physician reference manuals, and insurance cards by mobilizing social networks that include not only their neighbors but also local physicians. However, membership in these social networks is not universal, and some residents are forced to turn to a robust street market to obtain medicine. For others, health problems simply go untreated. Raudenbush reconceptualizes U.S. health care as a formal-informal hybrid system and explains why many residents who do have access to health services also turn to informal strategies to treat their health problems. While the practices described in the book may at times be beneficial to people’s health, they also have the potential to do serious harm. By understanding this hybrid system, we can evaluate its effects and gain new insight into the sources of social and racial disparities in health outcomes.
The book sets out to inform a broad range of professionals working in medicine and healthcare about how creative thinking and design concepts can be used to innovate in providing an enhanced patient experience. It outlines these concepts as a primary means to identify, clarify and resolve some of the process improvement and enhancement challenges in healthcare delivery. It demonstrates by example how such challenges can be addressed, drawing on case examples from healthcare and other industries, and from the authors’ own experiences as innovators and educators. It emphasizes the value of learning in action. For the reader who already has a leaning towards novel approaches to addressing healthcare delivery challenges, it provides guidance on harnessing team inputs and engaging with a network of contributors. It is an ideal resource for all working in medicine and healthcare, from managers, nurses, doctors, administrators, executives, and allied health professionals to medical engineers, medical physicists, medical scientists and medical product developers. Features Provides a unique framework to conceptualise innovation in healthcare and medicine. Authored by an award-winning medical scientist and an established business school Professor who have proven track-records with innovation, in education settings and as entrepreneurs. Presents a clear interdisciplinary approach, complemented with practical case studies set in the context of the challenges facing healthcare delivery in the 21st century. Dr. Barry McMahon has a national and international reputation as an Academic Medical Physicist in the fields of novel physiological measurement and medical device innovation and design. He is the co- inventor of the Functional Lumen Imaging Probe (FLIP) technique later commercialised as EndoFLIPTM. He was the Director of the Innovation Academy at Trinity College Dublin from 2012 to 2017. Since 2020 he is advising Children’s Health Ireland on innovation practice. In 2021, he retired as Chief Physicist/Clinical Engineer at Tallaght Hospital, Ireland and currently runs his own innovation-consulting group Electric Mindset Ltd. Dr. Paul Coughlan is Professor in Operations Management and Co-Director of Faculty at Trinity Business School, Trinity College Dublin. His research explores collaborative strategic improvement of operations through network action learning. He was the Director of the Innovation Academy at Trinity College Dublin from 2010 to 2012. He is a founding director of a research-based spin-out venture, Easy Hydro Ltd.
The anthrax incidents following the 9/11 terrorist attacks put the spotlight on the nation's public health agencies, placing it under an unprecedented scrutiny that added new dimensions to the complex issues considered in this report. The Future of the Public's Health in the 21st Century reaffirms the vision of Healthy People 2010, and outlines a systems approach to assuring the nation's health in practice, research, and policy. This approach focuses on joining the unique resources and perspectives of diverse sectors and entities and challenges these groups to work in a concerted, strategic way to promote and protect the public's health. Focusing on diverse partnerships as the framework for public health, the book discusses: The need for a shift from an individual to a population-based approach in practice, research, policy, and community engagement. The status of the governmental public health infrastructure and what needs to be improved, including its interface with the health care delivery system. The roles nongovernment actors, such as academia, business, local communities and the media can play in creating a healthy nation. Providing an accessible analysis, this book will be important to public health policy-makers and practitioners, business and community leaders, health advocates, educators and journalists.
The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI.
This book examines the financing of China’s health system, argues that present arrangements are not adequate and proposes an increased role for commercial health insurance as a way of overcoming the difficulties. Highlighting that China’s present social medical insurance system can only cover basic medical services, with the results that many Chinese people with higher income are going abroad for high-quality medical services and that doctors are not bringing in the salaries and obtaining the social status they expect, the book suggests that commercial health insurance offers a possible solution, in that it can help meet the demand of higher-income groups for better healthcare services while at the same time increasing the income of more competent medical professionals. The book goes on to consider the current state of China’s commercial insurance industry, outlining the various challenges that the industry needs to overcome if it is to fulfil an increased role, challenges such as greater specialization, increased capacity, structural reform, improved regulation and closer integration with China’s medical reform programme.