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1. |
Record Nr. |
UNINA9910466241703321 |
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Autore |
Romero Philip J. |
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Titolo |
Health financing without deficits : reform that sidesteps political gridlock / / Philip J. Romero and Randy S. Miller |
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Pubbl/distr/stampa |
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New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (xiii, 123 pages) |
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Collana |
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Economics collection, , 2163-7628 |
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Disciplina |
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Soggetti |
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Health care reform - Economic aspects - United States |
Medical policy - Economic aspects - United States |
Medical care, Cost of - United States |
Health Care Reform - economics - United States |
Health Policy - economics - United States |
Health Care Costs - United States |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references (pages 117-118) and index. |
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Nota di contenuto |
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Part I. The economy's vampire: health care -- 1. Health care, deficits, and the economy -- 2. The absent free market -- 3. The economy's vampire -- Part II. Three generations of reform proposals -- 4. The new deal and its progenitors -- 5. World War II, tax deductibility, and the Fair Deal -- 6. Medicare and Medicaid -- 7. Hillarycare and its progeny -- Part III. What is wrong with Democratic and Republican plans -- 8. 2016 plans -- Part IV. The key problems in American health policy -- 9. Problem I, unlimited demand due to third party payment -- 10. Problem II, high costs = poor access -- 11. Problem III, the health cartel -- 12. Obamacare -- 13. The shadow of 2018 -- Part V. A nonpartisan health financing alternative: HIRB -- 14. Bending the curve on funding health-care cost -- 15. Financing basics -- 16. HIRB and public policy -- 17. Why HIRB works -- 18. HIRB's robustness over a range of interest rates -- 19. A health insurance requisite -- 20. Summation -- 21. HIRB's versatility -- Part VI. Conclusion -- 22. What Democrats get wrong about health reform -- 23. What Republicans get |
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wrong about health reform -- 24. The path to a sustainable health system -- Glossary -- Notes -- Bibliography -- For more about HIRB -- Index. |
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Sommario/riassunto |
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America's health system has been a polarizing issue in most presidential campaigns in our lifetimes. It is hardly surprising that an industry that consumes nearly one in every five dollars spent in the U.S. economy has loomed over our politics. Its only competition in the last few decades was the nuclear standoff with the Soviet Union during the Cold War. It will be prominent again in 2016 and beyond. This book will guide you through the fusillade of charges, and promises, you will hear in political campaigns about health care and "reform." They will occur now that the fiscal calamity of Boomer retirement is no longer a threat: it is here. For all the attention Social Security receives, Medicare is the truly scary entitlement program, with unfunded liabilities many times larger. This book also offers a powerful tool of reform. The Health Insurance Revenue Bond (HIRB) is a new and completely self-liquidating financing approach that fully funds escalating liabilities such as health care-- without deficits. If you can't bend the curve on health costs, bend the curve on the cost of funding. The HIRB program can assist governments in developed nations to begin the long and painful process of deleveraging. |
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2. |
Record Nr. |
UNISA996466153803316 |
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Titolo |
Advances in Machine Learning and Cybernetics [[electronic resource] ] : 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers / / edited by Daniel S. Yeung, Zhi-Qiang Liu, Xi-Zhao Wang, Hong Yan |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
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ISBN |
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Edizione |
[1st ed. 2006.] |
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Descrizione fisica |
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1 online resource (XXI, 1110 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 3930 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Mathematical logic |
Computers |
Algorithms |
Optical data processing |
Database management |
Artificial Intelligence |
Mathematical Logic and Formal Languages |
Computation by Abstract Devices |
Algorithm Analysis and Problem Complexity |
Image Processing and Computer Vision |
Database Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and author index. |
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Nota di contenuto |
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Agents and Distributed AI -- Intelligent Control (I) -- Intelligent Control (II) -- Data Mining and Knowledge Discovery (I) -- Data Mining and Knowledge Discovery (II) -- Data Mining and Knowledge Discovery (III) -- Fuzzy Information Processing (I) -- Fuzzy Information Processing (II) -- Learning and Reasoning (I) -- Learning and Reasoning (II) -- Learning and Reasoning (III) -- Machine Learning Applications (I) -- Machine Learning Applications (II) -- Machine Learning Applications (III) -- Neural Networks and Statistical Learning Methods (I) -- Neural |
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Networks and Statistical Learning Methods (II) -- Neural Networks and Statistical Learning Methods (III) -- Neural Networks and Statistical Learning Methods (IV) -- Pattern Recognition (I) -- Pattern Recognition (II) -- Vision and Image Processing (I) -- Vision and Image Processing (II). |
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Sommario/riassunto |
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Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid expansion of research and development activities in machine learning and cybernetics. To provide opportunities for researchers in these areas to share their ideas and foster collaborations, the International Conference on Machines and Cybernetics (ICMLC) has been held annually since 2002. The conference series has achieved a great success in attracting a large number of paper submissions and participants and enabling fruitful exchanges among academic and industrial researchers and postgraduate students. In 2005, the conference (ICMLC 2005) received 2461 full paper submissions and the Program Committee selected 1050 of them for presentation. It is especially encouraging that the conference is attracting more and more international attention. This year, there are contributions from 21 countries and 211 universities worldwide. Out of the 1050 papers presented at the conference, we selected 114 papers to be published in this volume of Lecture Notes in Computer Science. |
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