Reshaping Health Systems: What Drives Health Care and How You Can Change It illuminates how forces in the health care system (“systems factors”) impact patient care before outlining strategies (“systems solutions”) to enact change and improve care delivery. Using a case-based format that mirrors real-world scenarios involving patients and clinicians, Drs. Liao, Staloff, and Joo impart foundational health systems knowledge and skills in ways that are intuitive, enjoyable, and accessible for clinicians and health system leaders alike. The book is divided into two parts. Part I follows the journey of a patient navigating systems factors that influence her care across care settings. Part II follows the journey of a clinician working to improve care delivery using “systems solutions” from fields such as quality improvement, design thinking, change management, and implementation science. Together, the book provides foundational and actionable training in health systems for a wide range of clinical and non-clinical team members and leaders in health care. Readers will not only understand how our health care system works; they will be equipped to improve it.
Improving quality of life is one of the main advantages of integrating new innovations into medicine. New technologies are revolutionizing medicine and opening new opportunities for patients, doctors, clinics, and companies. The patient's well-being is monitored autonomously by smartphones, digital medical records simplify everyday clinical work, virtual reality is used for treatment, and robots help in the operating room. The new technological possibilities in healthcare not only change patients’ lives, but also the work of doctors, clinics, and companies. In the fields of healthcare and medicine, new technologies can be used for patient communication, health monitoring, or for the treatment of patients, and modern research is devoted to advancing and understanding these technologies. Ethical Implications of Reshaping Healthcare With Emerging Technologies includes the most up-to-date research in the fields of healthcare and medicine worldwide, provides answers to the forms of treatment that are already possible in medicine, and illuminates the future possibilities that are already being researched. In addition, today's knowledge is translated and shown in how new technologies such as autonomous VR-system can be used for pain reduction as part of a treatment. Finally, this book examines the ethical guidelines in healthcare and medicine that are associated with the rapid development of these technologies. This book will be useful for the healthcare industry, hospital administration, the health insurance industry, doctors, healthcare workers, business professionals, IT specialists, medical software designers, scientists, practitioners, researchers, academicians, and students looking for the latest information on the use of emerging technologies in healthcare settings.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Ecological Public Health demonstrates that although public health medicine is useful and honourable, a radical rethink is required and is, indeed, starting to emerge. It aims to revitalize thinking about public health in terms of ecology, and calls for a concerted combined effort from existing disciplines to bring about reform.
The Social Security Administration (SSA) administers two programs that provide benefits based on disability: the Social Security Disability Insurance (SSDI) program and the Supplemental Security Income (SSI) program. This report analyzes health care utilizations as they relate to impairment severity and SSA's definition of disability. Health Care Utilization as a Proxy in Disability Determination identifies types of utilizations that might be good proxies for "listing-level" severity; that is, what represents an impairment, or combination of impairments, that are severe enough to prevent a person from doing any gainful activity, regardless of age, education, or work experience.
As our nation enters a new era of medical science that offers the real prospect of personalized health care, we will be confronted by an increasingly complex array of health care options and decisions. The Learning Healthcare System considers how health care is structured to develop and to apply evidence-from health profession training and infrastructure development to advances in research methodology, patient engagement, payment schemes, and measurement-and highlights opportunities for the creation of a sustainable learning health care system that gets the right care to people when they need it and then captures the results for improvement. This book will be of primary interest to hospital and insurance industry administrators, health care providers, those who train and educate health workers, researchers, and policymakers. The Learning Healthcare System is the first in a series that will focus on issues important to improving the development and application of evidence in health care decision making. The Roundtable on Evidence-Based Medicine serves as a neutral venue for cooperative work among key stakeholders on several dimensions: to help transform the availability and use of the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and, ultimately, to ensure innovation, quality, safety, and value in health care.
Navigating Digital Health Landscapes explores how users navigate the internet when searching for health information. It is the first book to conceptualise the internet as a landscape and the ways in which people navigate this digital world, including the complex entanglements between on and offline domains. It does so through a range of disciplinary perspectives from expert contributors across STS (science and technology studies), social anthropology, biomedicine, ethics and law, linguistics, social policy and computer scientists working in more technical aspects of tracking and visualising data and information on the internet. The book provides a unique and valuable contribution for those wishing to understand how digital technologies are affecting the design, implementation and use of digital systems to manage health information in different contexts.
Combining conceptual, pragmatic and operational approaches, this edited collection addresses the demand for knowledge and understanding of IT in the healthcare sector. With new technology outbreaks, our vision of healthcare has been drastically changed, switching from a ‘traditional’ path to a digitalized one. Providing an overview of the role of IT in the healthcare sector, The Digitization of Healthcare illustrates the potential benefits and challenges for all those involved in delivering care to the patient. The incursion of IT has disrupted the value chain and changed business models for companies working in the health sector, and also raised ethical issues and new paradigms about delivering care. This book illustrates the rise of patient empowerment through the development of patient communities such as PatientLikeMe, and medical collaborate platforms such as DockCheck, thus providing a necessary tool to patients, caregivers and academics alike.
On the ten-year anniversary of the release of the original Joe Public Doesn’t Care About Your Hospital book, author Chris Bevolo and Revive have set their sights a decade in the future with Joe Public 2030: Five Potent Predictions Reshaping How Consumers Engage Healthcare. The book explores five key ways consumer health engagement may change over the coming decade, covering everything from AI and personal monitoring to consumerism, new competition, the politicization of healthcare, and growing health disparities. The book makes five bold predictions about that future, which range from exciting and promising to ominous and discouraging. Based on insights developed by a team of researchers, strategists, and futurists at Revive, the five core predictions are supported by more than 250 resource citations and input from 22 industry experts who were interviewed for the book, including health system CEOs, venture capitalists, entrepreneurs, and physicians. The purpose of the book is to spark conversation about how the future of health and healthcare in the U.S. might emerge, and how individuals and organizations might want to prepare for – or even change - that future. This is Bevolo’s seventh book, and the fourth (and final) installment in the Joe Public series. The book is scheduled for release in January 2022.