An easy-to-understand guide to the Affordable Care Act! Written by ABC World News' Real Money expert and healthcare advocate Michelle Katz, Healthcare Made Easy is the ultimate resource for understanding and navigating the Affordable Care Act. Using simple and easy-to-follow language, she answers important questions about the ACA, such as: Are there any exemptions to buying insurance under the Affordable Care Act? What is the new "80/20 Rule"? And what exactly is the Early Retiree Reinsurance Program? What does the ACA mean for small businesses? What benefits must you offer and what are the tax breaks? What is covered for your children under the new CHIP laws? How can you get pharmaceutical companies to lower your prescription costs? With the expert advice in Healthcare Made Easy, you will learn how to get the most out of your healthcare plan without having to sacrifice your needs or empty your pockets. "Here is a guide, a map through the maze of healthcare decisions facing us all. Michelle has helped a lot of families. She is a champion of the consumer. A truly informed advocate." --Diane Sawyer "Michelle breaks down complicated laws and insurance regulations to make them understandable to everyone. She provides you with a road map to getting the best healthcare at the most affordable prices." --Tavis Smiley, Author, Television and Radio Host

In no industry is the concept of quality more essential than it is in healthcare, which is why the lean quality principles learned through the example of the Toyota Production System are so applicable. Two fundamental principles of Toyota‘s push for excellence are especially relevant to healthcare: ensuring quality at every step and keeping improve

An easy-to-understand guide to the Affordable Care Act! Written by ABC World News' Real Money expert and healthcare advocate Michelle Katz, Healthcare Made Easy is the ultimate resource for understanding and navigating the Affordable Care Act. Using simple and easy-to-follow language, she answers important questions about the ACA, such as: Are there any exemptions to buying insurance under the Affordable Care Act? What is the new "80/20 Rule"? And what exactly is the Early Retiree Reinsurance Program? What does the ACA mean for small businesses? What benefits must you offer and what are the tax breaks? What is covered for your children under the new CHIP laws? How can you get pharmaceutical companies to lower your prescription costs? With the expert advice in Healthcare Made Easy, you will learn how to get the most out of your healthcare plan without having to sacrifice your needs or empty your pockets. "Here is a guide, a map through the maze of healthcare decisions facing us all. Michelle has helped a lot of families. She is a champion of the consumer. A truly informed advocate." --Diane Sawyer "Michelle breaks down complicated laws and insurance regulations to make them understandable to everyone. She provides you with a road map to getting the best healthcare at the most affordable prices." --Tavis Smiley, Author, Television and Radio Host

- Features completely updated information that reflects the many changes in the insurance industry. - Contains a new chapter on UB-92 insurance billing for hospitals and outpatient facilities. - Includes a new appendix, Quick Guide to HIPAA for the Physician's Office, to provide a basic overview of the important HIPAA-related information necessary on the job.

Highly Commended in the BMA Medical Book Awards 2018! Here’s what the judges said: "This is one of the few textbooks I would suggest every clinician reads.” Healthcare Economics Made Easy 2e is a clear and concise text written for healthcare professionals and students who need to understand the basics of the subject but who do not want to wade through a specialist health economics text. This new edition builds on the success of the first edition by adding new chapters which provide a comparison across several western economies, as well as a consideration of the US healthcare system. Healthcare Economics Made Easy 2e will equip the reader with the necessary skills to make valid decisions based on the economic data and with the background knowledge to understand the health economics literature. This book provides insight into the economic methods that are used to promote public health policies, the techniques used for grading and valuing evidence and the statistics relied upon, without trying to re-train the reader as a health economist. If you are left bemused by terms such as QALY, health utility analysis and cost minimisation analysis, then this is the book for you! From reviews of the first edition: “This is a clearly written and accessible introduction to health economics... This book should prove useful to all those responsible for planning and delivering health service. It is a quick read but also a useful reference for the desk.... I would commend this book as a means by which people .... can better understand both the impact of their own practice on our health economy and also appreciate the methods that are being adopted to determine clinical practice at a regional and super-regional level.” Ulster Medical Journal, 2014

Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.

This text presents a guide to clinical effectiveness and governance. It aims to increase awareness of, and skills in, an evidence-based approach to health care, and there is advice on collecting, evaluating, interpreting and applying evidence.

This fourth edition is a text for your nursing research course and provides students with a solid foundation and the tools they need to evaluate articles and research effectively. The fourth edition builds on the digital updates made to the previous edition and highlights the Matrix Method and the skills necessary to critically evaluate articles. The text also covers Method Maps, which teach students how to effectively construct a research study. The author leads students through the process of how to manage a quality literature review in the context of evidence-based practice. A case study highlighting a typical graduate student is woven throughout the text to illustrate the importance of literature reviews and evidence-based practice. Health sciences literature review made easy, fourth edition is appropriate for graduate level nursing courses as well as undergraduate Nursing Research courses that require literature reviews.

A New York Times bestseller/Washington Post Notable Book of 2017/NPR Best Books of 2017/Wall Street Journal Best Books of 2017 "This book will serve as the definitive guide to the past and future of health care in America.”—Siddhartha Mukherjee, Pulitzer Prize-winning author of The Emperor of All Maladies and The Gene At a moment of drastic political upheaval, An American Sickness is a shocking investigation into our dysfunctional healthcare system - and offers practical solutions to its myriad problems. In these troubled times, perhaps no institution has unraveled more quickly and more completely than American medicine. In only a few decades, the medical system has been overrun by organizations seeking to exploit for profit the trust that vulnerable and sick Americans place in their healthcare. Our politicians have proven themselves either unwilling or incapable of reining in the increasingly outrageous costs faced by patients, and market-based solutions only seem to funnel larger and larger sums of our money into the hands of corporations. Impossibly high insurance premiums and inexplicably large bills have become facts of life; fatalism has set in. Very quickly Americans have been made to accept paying more for less. How did things get so bad so fast? Breaking down this monolithic business into the individual industries—the hospitals, doctors, insurance companies, and drug manufacturers—that together constitute our healthcare system, Rosenthal exposes the recent evolution of American medicine as never before. How did healthcare, the caring endeavor, become healthcare, the highly profitable industry? Hospital systems, which are managed by business executives, behave like predatory lenders, hounding patients and seizing their homes. Research charities are in bed with big pharmaceutical companies, which surreptitiously profit from the donations made by working people. Patients receive bills in code, from entrepreneurial doctors they never even saw. The system is in tatters, but we can fight back. Dr. Elisabeth Rosenthal doesn't just explain the symptoms, she diagnoses and treats the disease itself. In clear and practical terms, she spells out exactly how to decode medical doublespeak, avoid the pitfalls of the pharmaceuticals racket, and get the care you and your family deserve. She takes you inside the doctor-patient relationship and to hospital C-suites, explaining step-by-step the workings of a system badly lacking transparency. This is about what we can do, as individual patients, both to navigate the maze that is American healthcare and also to demand far-reaching reform. An American Sickness is the frontline defense against a healthcare system that no longer has our well-being at heart.

This new edition of Medical Statistics Made Easy 2nd edition enables readers to understand the key statistical techniques used throughout the medical literature. Featuring a comprehensive updating of the 'Statistics at work' section, this new edition retains a consistent, concise, and user-friendly format. Each technique is graded for ease of use and frequency of appearance in the mainstream medical journals. Medical Statistics Made Easy 2nd edition is essential reading for anyone looking to understand: * confidence intervals and probability values * numbers needed to treat * t tests and other parametric tests * survival analysis If you need to understand the medical literature, then you need to read this book. Reviews: "This book helps medical students understand the basic concepts of medical statistics starting in a 'step-by-step approach'. The authors have designed the book assuming that the reader has no prior knowledge. It focuses on the most common statistical concepts that are likely to be faced in medical literature. All chapters are concise and simple to understand. Each chapter starts with an introduction which consists of “how important” that particular statistical concept is, using a 'star' system. A 'thumbs-up' system shows how easy the statistical concept is to understand. Both these systems indicate time-efficient learning allowing yourself to focus on areas you find most difficult. Following this, there are worked out examples with exam-tips at the end of some chapters. The last chapter, 'Statistics at Work', shows how medical statistics is put into practice using worked out examples from renowned journals. This helps in assessing the reader’s own knowledge and gives them confidence in analysis of statistics of a journal. In conclusion, we would recommend this book as an introduction into medical statistics before plunging into the deep 'statistical' waters! It gives confidence to the reader in taking up the challenge of understanding statistics and [being] able to apply knowledge in analysing medical literature." Stefanie Zhao Lin Lip & Louise Murchison, Scottish Medical Journal, June 2010 "If ever there was a book that completely lived up to its title, this is it...Perhaps above everything, it is the chapter layout and design that makes this book stand out head and shoulders above the crowd. At the beginning of each chapter two questions are posed – how important is the subject in question and how difficult is it to understand? The first is answered on the basis of how often the subject is mentioned / used in papers published in mainstream medical journals. A star rating is then given from one to five with five stars implying use in the majority of papers published. The second question is answered by means of a ‘thumbs up’ grading system. The more thumbs, the easier the concept is to understand (maximum of five). This, of course, provides a route into statistics for even the most idle of uneducated individuals! Five stars and five thumbs must surely indicate time-efficient learning! At the end of each chapter exam tips (light bulb icon!) are given – I doubt anyone could ask for more! The whole way in which the authors have written this book is commendable; the chapters are succinct, easy to follow and a pleasure to read...Is it value for money? – a definite yes even at twice the price. Of course I never exaggerate but if you breathe, you should own this book!" Ian Pearce, Urology News, June 2010