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Personalized and precision medicine (PPM)—the targeting of therapies according to an individual’s genetic, environmental, or lifestyle characteristics—is becoming an increasingly important approach in health care treatment and prevention. The advancement of PPM is a challenge in traditional clinical, reimbursement, and regulatory landscapes because it is costly to develop and introduces a wide range of scientific, clinical, ethical, and socioeconomic issues. PPM raises a multitude of economic issues, including how information on accurate diagnosis and treatment success will be disseminated and who will bear the cost; changes to physician training to incorporate genetics, probability and statistics, and economic considerations; questions about whether the benefits of PPM will be confined to developed countries or will diffuse to emerging economies with less developed health care systems; the effects of patient heterogeneity on cost-effectiveness analysis; and opportunities for PPM’s growth beyond treatment of acute illness, such as prevention and reversal of chronic conditions. This volume explores the intersection of the scientific, clinical, and economic factors affecting the development of PPM, including its effects on the drug pipeline, on reimbursement of PPM diagnostics and treatments, and on funding of the requisite underlying research; and it examines recent empirical applications of PPM.
The book adds to the discussion about strategic approaches towards the translation of personalized medicine into clinical practice. It stresses the importance of non-science related, institutional barriers. A Law and Economics perspective is applied in order to examine the incentives induced by the barriers. An applied part identifies and evaluates policy levers to foster the translation of personalized medicine into Swiss clinical practice.
"The book Novel Perspectives in Economics of Personalized Medicine and Healthcare Systems represents a valuable interdisciplinary contribution created to fill an existing gap in the field of health economics and healthcare systems. The book brings the latest insights from the growing field of health economics and healthcare systems. It deals with various economic, technological, sociological, ethical, legal and philosophical implications and questions arising from the development and implementation of personalized medicine. It is unprecedented in combining practical guidelines for the use of economic tools and techniques with an analysis of the current process of decision-making in the health service sector. The book also provides several insights into the factors that determine human health, the socioeconomic aspects of population aging and the social implications of the evolving burden of disease. Some contributions are highly innovative and cover extremely relevant branches of medicine such as oncology, neurology and endocrinology. In addition, in a brave, yet professional and sovereign manner, the book covers the issue of biological predictors of health outcomes; though they are currently mainly used as global analytical methods, they are yet to be applied or have only recently been applied in clinical medicine. Further, it provides an example from traditional Korean medicine, a proven and valuable tool for personalized medical healthcare. This edition is unique in the sense that 30 chapters were written by 41 authors, all of them experts in their respective fields of research. The authors hail from Croatia, Hungary, South Korea and the United States. The volume is intended to serve as valuable teaching material for university students, as well as a reference book for research scholars, policymakers, business executives, health managers, physicians and freelance readers"--
We live in a world of one-size-fits-all law. People are different, but the laws that govern them are uniform. "Personalized Law"---rules that vary person by person---will change that. Here is a vision of a brave new world, where each person is bound by their own personally-tailored law. "Reasonable person" standards would be replaced by a multitude of personalized commands, each individual with their own "reasonable you" rule. Skilled doctors would be held to higher standards of care, the most vulnerable consumers and employees would receive stronger protections, age restrictions for driving or for the consumption of alcohol would vary according the recklessness risk that each person poses, and borrowers would be entitled to personalized loan disclosures tailored to their unique needs and delivered in a format fitting their mental capacity. The data and algorithms to administer personalize law are at our doorstep, and embryos of this regime are sprouting. Should we welcome this transformation of the law? Does personalized law harbor a utopic promise, or would it produce alienation, demoralization, and discrimination? This book is the first to explore personalized law, offering a vision of law and robotics that delegates to machines those tasks humans are least able to perform well. It inquires how personalized law can be designed to deliver precision and justice and what pitfalls the regime would have to prudently avoid. In this book, Omri Ben-Shahar and Ariel Porat not only present this concept in a clear, easily accessible way, but they offer specific examples of how personalized law may be implemented across a variety of real-life applications.
Advances in the technology used in personalized medicine and increased applications for clinical use have created a need for this expansion and revision of Kewal K. Jain’s Textbook of Personalized Medicine. As the first definitive work on this topic, this book reviews the fundamentals and development of personalized medicine and subsequent adoptions of the concepts by the biopharmaceutical industry and the medical profession. It also discusses examples of applications in key therapeutic areas, as well as ethical and regulatory issues, providing a concise and comprehensive source of reference for those involved in healthcare management, planning and politics. Algorithms are included as a guide to those involved in the management of important diseases where decision-making is involved due to the multiple choices available. Textbook of Personalized Medicine, Second Edition will serve as a convenient source of information for physicians, scientists, decision makers in the biopharmaceutical and healthcare industries and interested members of the public.
In this book, Phelps and Parente explore the US health care system and set out the case for its reform. They trace the foundations of today’s system, and show how distortions in the incentives facing participants in the health care market could be corrected in order to achieve lower costs, a higher quality of care, a higher level of patient safety, and a more efficient allocation of health care resources. Phelps and Parente propose novel yet economically robust changes to US tax law affecting health insurance coverage and related issues. They also discuss a series of specific improvements to Medicare and Medicaid, and assess potential innovations that affect all of health care, including chronic disease management, fraud and abuse detection, information technology, and other key issues. The Economics of US Health Care Policy will be illuminating reading for anyone with an interest in health policy, and will be a valuable supplementary text for courses in health economics and health policy, including for students without advanced training in economics.
"What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.
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
In its decades-long effort to assure the safety, efficacy, and security of medicines and other products, the Food and Drug Administration has struggled with issues of funding, proper associations with industry, and the balance between consumer choice and consumer protection. Today, these challenges are compounded by the pressures of globalization, the introduction of novel technologies, and fast-evolving threats to public health. With essays by leading scholars and government and private-industry experts, FDA in the Twenty-First Century addresses perennial and new problems and the improvements the agency can make to better serve the public good. The collection features essays on effective regulation in an era of globalization, consumer empowerment, and comparative effectiveness, as well as questions of data transparency, conflicts of interest, industry responsibility, and innovation policy, all with an emphasis on pharmaceuticals. The book also intervenes in the debate over off-label drug marketing and the proper role of the FDA before and after a drug goes on the market. Dealing honestly and thoroughly with the FDA's successes and failures, these essays rethink the structure, function, and future of the agency and the effect policy innovations may have on regulatory institutions abroad.
Health Economics combines current economic theory, recent research, and health policy problems into a comprehensive overview of the field. This thorough update of a classic and widely used text follows author Charles E. Phelps' thirteen years of service as Provost of the University of Rochester. Accessible and intuitive, early chapters use recent empirical studies to develop essential methodological foundations. Later chapters build on these core concepts to focus on key policy areas, such as the structure and effects of Medicare reform, insurance plans, and new technologies in the health care community. This edition contains revised and updated data tables and contains information throughout the text on the latest changes that were made to the Patient Protection and Affordable Care Act (PPACA).