Medicare and Medicaid: A Reference Handbook provides an in-depth discussion of these two large government health insurance programs. It additionally addresses such related issues as health care, government spending, and socialized medicine. Many Americans hold conflicting views on how to pay for health care. They fear that government involvement will either undermine the quality of care or cost taxpayers too much. However, over the past half-century, hundreds of millions of Americans have come to rely on government health insurance because they are elderly, low-income, or both. Medicare and Medicaid: A Reference Handbook provides high school and college readers with a one-stop resource on these two government insurance programs. A background and history of the topic are followed by a chapter on problems, controversies, and solutions. Perspectives and profiles speak to current program strengths, political concerns, and problems. There is a strong focus on current program challenges and opportunities. Moreover, most of the government documents referenced in a dedicated resources chapter are produced periodically, with updates accessible online, so the book should enjoy an enduring shelf-life. The volume closes with a glossary and bibliography.

SAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research. Knowing how to use Medicare data to answer common research and business questions is a critical skill for many SAS users. Due to its complexity, Medicare data requires specific programming knowledge in order to be applied accurately. Programmers need to understand the Medicare program in order to interpret and utilize its data. With this book, you'll learn the entire process of programming with Medicare data—from obtaining access to data; to measuring cost, utilization, and quality; to overcoming common challenges. Each chapter includes exercises that challenge you to apply concepts to real-world programming tasks. SAS Programming with Medicare Administrative Data offers beginners a programming project template to follow from beginning to end. It also includes more complex questions and discussions that are appropriate for advanced users. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers. This book is part of the SAS Press program.

For fifty years, Medicare and Medicaid have stood at the center of a contentious debate surrounding American government, citizenship, and health care entitlement. In Medicare and Medicaid at 50, leading scholars in politics, government, economics, health policy, and history offer a comprehensive assessment of the evolution of these programs and their impact on society -- from their origins in the Great Society era to the current battles over the Affordable Care Act ("Obamacare"). These highly accessible essays examine Medicare and Medicaid from their origins as programs for the elderly and poor to their later role as a safety net for the middle class. Along the way, they have served as touchstones for heated debates about economics, social welfare, and the role of government. Medicare and Medicaid at 50 addresses key questions for understanding the past and future of health policy in America, including: · What were the origins for these initiatives, and how were they transformed over time? · What marks have Medicare and Medicaid left on society? · In what ways have these programs produced innovation, even in eras of retrenchment? · How did Medicaid, once regarded as a poor person's program, expand its benefits and coverage over the decades to become the platform for the ACA's future expansion? The volume's contributors go on to examine the powerful role of courts in these transformations, along with the shifting roles of Congress, public opinion, and state governors in the programs' ongoing evolution. From Lyndon Johnson to Barack Obama on the left, and from Ronald Reagan to George W. Bush on the right, American political leaders have tied their political fortunes to the fate of America's entitlement programs; Medicare and Medicaid at 50 helps explain why, and how those ongoing debates are likely to shape the future of the Affordable Care Act.

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.