Care Without Coverage
Care Without Coverage

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2002-06-20

Total Pages: 213

ISBN-13: 0309083435

DOWNLOAD EBOOK

Many Americans believe that people who lack health insurance somehow get the care they really need. Care Without Coverage examines the real consequences for adults who lack health insurance. The study presents findings in the areas of prevention and screening, cancer, chronic illness, hospital-based care, and general health status. The committee looked at the consequences of being uninsured for people suffering from cancer, diabetes, HIV infection and AIDS, heart and kidney disease, mental illness, traumatic injuries, and heart attacks. It focused on the roughly 30 million-one in seven-working-age Americans without health insurance. This group does not include the population over 65 that is covered by Medicare or the nearly 10 million children who are uninsured in this country. The main findings of the report are that working-age Americans without health insurance are more likely to receive too little medical care and receive it too late; be sicker and die sooner; and receive poorer care when they are in the hospital, even for acute situations like a motor vehicle crash.

Generalized Linear Models for Insurance Data
Generalized Linear Models for Insurance Data

Author: Piet de Jong

Publisher: Cambridge University Press

Published: 2008-02-28

Total Pages: 207

ISBN-13: 1139470477

DOWNLOAD EBOOK

This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

Analytics for Insurance
Analytics for Insurance

Author: Tony Boobier

Publisher: John Wiley & Sons

Published: 2016-10-10

Total Pages: 296

ISBN-13: 1119141079

DOWNLOAD EBOOK

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.

Deadly Spin
Deadly Spin

Author: Wendell Potter

Publisher: Bloomsbury Publishing USA

Published: 2010-11-09

Total Pages: 289

ISBN-13: 1608193500

DOWNLOAD EBOOK

That's how Wendell Potter introduced himself to a Senate committee in June 2009. He proceed to explain how insurance companies make promises they have no intention of keeping, how they flout regulations designed to protect consumers, and how they make it nearly impossible to understand information that the public needs. Potter quit his high-paid job as head of public relations at a major insurance corporation because he could no longer abide the routine practices of the insurance industry, policies that amounted to a death sentence for thousands of Americans every year. In Deadly Spin, Potter takes readers behind the scenes of the insurance industry to show how a huge chunk of our absurd healthcare expenditures actually bankrolls a propaganda campaign and lobbying effort focused on protecting one thing: profits. With the unique vantage of both a whistleblower and a high-powered former insider, Potter moves beyond the healthcare crisis to show how public relations works, and how it has come to play a massive, often insidious role in our political process-and our lives. This important and timely book tells Potter's remarkable personal story, but its larger goal is to explain how people like Potter, before his change of heart, can get the public to think and act in ways that benefit big corporations-and the Wall Street money managers who own them.