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Summary: "Health Economics and Financing is a primer for the economic analysis of medical markets. Its intended audiences are students of medicine, public health, policy, and administration who wish to engage the central economic issues of their field without prolonged preparatory work; beginning students in economics who wish to study an applied area in detail without recourse to extensive mathematical manipulation; and more advanced students in economics who may be familiar with analytical techniques but lack knowledge of the many institutional features that make the study of health and health care so unique and rewarding. This book draws upon the work of many scholars, but in keeping with its design as a primer for introducing students to the principles and concepts of health economics rather than its literature and research methods, the use of attribution, footnotes, and references is purposely limited. Suggestions for additional reading and more advanced source materials and databases are listed at the end of each chapter and are available on the instructor's website at www.wiley.com/go/getzen/healtheconomics6e. The first eleven chapters use a flow-of-funds approach to investigate the sources and uses of financing and to explore the incentives and organizational structure of the health care system. Transactions between patients and physicians (and others) are examined to see how profits are made, costs covered, contracts written (or implied), and regulations formed. The long-term consequences of exchanging services for money in a particular way are revealed by exploring the historical development of those distinctive features that characterize the industrial organization of health care: licensure, third-party insurance, nonprofit hospitals, and government regulation. The last five chapters take a wider macroeconomic perspective in order to explore the dynamics of change within the health care system and to explicitly consider determinants of national health spending and the role of governments in public and private health"-- Provided by publisher.

Summary: "The rise of data-driven technologies such as machine learning has had wide ranging impacts, not least in the realm of physical sciences, where it is transforming the traditional mind-set about how research can, and should, be performed. Deep learning is an exciting new development in the area of machine learning, containing many powerful techniques which can benefit researchers in the physical sciences"-- Provided by publisher.

Summary: "Today, chief risk officers are finding themselves facing the daunting task of providing assurances to senior management and to board members that operational risks are being effectively managed and mitigated. Traditional market and credit risk approaches offer only partial effectiveness in the operational risk field, and this book explores the unique qualitative aspects of operational risk manage-ment. This book also provides insight into some of the (often noto-rious) operational risk events that have occurred in the past 10 years, with analysis of the JPMorgan Whale event, the Archegos Credit Suisse event, the UBS and Société Générale unauthorized trading scandals, the reputational risk events related to LIBOR and the recent Australian Banking scandals, the Knight Capital technology misstep and the management of operational risk at the Olympics. The Covid-19 Pandemic's impact on operational risk losses is also explored, along with the effectiveness of preparations for that event."-- Provided by publisher.