Description: Description of Long Term Care programs in various European countries.

Description: This is a chart that estimates spending on long-term care for older adults in the year 2004 from an article entitled Long-Term Care is Poised for Growth.

Description: This paper addresses the financial risk of long-term care by examining the use of reverse mortgages to help impaired elders continue to live at home.

Description: The presenters will explore the long-term care insurance product and its impact on potential transactions. Discuss why the inherent risks of this product create challenges for buyers and sellers in this market.

Description: This interactive panel discussion will cover perspectives on:</p><ul><li>the evolution of AG51 requirements, including practical considerations for implementation</li><li>the general evolution of long-term care insurance regulation</li><li>how both the public and private sector can help invigorate sales of long-term care insurance

Description: Predictive Analytics and Epigenetics are two of the most impactful driving forces for the future of healthcare, precision medicine, and insurance. Learn why this is true, how if will change the way our industry operates, and how you can stay viable and contribute to the betterment of humanity while also protecting the actuarial profession from obsolescence. Learn how personalized medicine keying off genetic testing is saving life insurers big dollars. The only limit seems to be testing access for their insureds.

Description: This article describes the recent development of pilot wellness programs for Long-Term Care insurance and suggests why they are beneficial to both policyholders and insurance companies.

Description: The research arm of the Society of Actuaries has funded two new works that will be presented. One is an actuarial model that provides tools to analyze long-term care financing reform proposals. The other is work on wellness components in long-term care insurance.

Description: The panel will discuss several product challenges including modeling hybrid/combo long-term care products, modeling benefit options that are difficult to model using deterministic methods, modeling current situs of care versus original situs of care, monitoring assumptions, streamlining experience studies within the Long-duration Targeted Improvements (LDTI) framework, and model decision making with limited credible data. The panel will then move into solutions observed to address some of the aforementioned challenges and the future of long-term care modelling

Description: "Driving Longevity Through Educational Attainment – Robert L. Brown – Ph. D. Higher Age U.S. Mortality By Education and Cause of Death Trends, Inequality and Controllable Risk Factors – Andrew J. G. Cairns – MPA Ph.D., Maxwell Institute for Mathematical Sciences, and Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, Scotland, UK, Cristian Redondo Lour´es, Ph.D., Actuarial Solutions,"