Description: Broaden your understanding of how long-term care (LTC) is provided and brainstorm with other actuaries on ways to help society fund future LTC solutions. How we fund and provide LTC for our loved ones has changed over time and will evolve still by the time we retire. In this session we will explore the variety of ways that we fund LTC services: out of pocket and with informal care, Medicaid, lifeplan communities (Continuing Care Retirement Communities and and the Continuing Care at Home model), private LTC insurance and more. You will leave the session appreciating that providing long-term care is a key feature of our aging society and understand the variety of ways that we fund LTC today and may in the future.

Description: This session will discuss the existing and potential tax-favored opportunities for LTC insurance. It will use non-actuarial and actuarial tax experts to discuss the existing (and potentially non-controversial legislative possibilities) to deal with the impending societal issues associated with the baby boomers progressing towards a tidal wave of long-term care needs that will mostly be funded through a Medicaid system that will be unable to deal with it.

Description: This session will focus on how companies can use innovative approaches to managing their Long Term Care (LTC) blocks. It will focus on utilizing external data and machine learning to identify which strategies are likely to be more successful on particular blocks of business. The attendees will learn how they can better use data to improve future financial outcomes in their blocks.

Description: What are insurance companies promoting in the market? How are they framing their products and services? What is their value proposition to producers? Members of the SOA Marketing and Distribution section receive an exclusive benefit that addresses these questions.

Description: A call for essays from the Society of Actuaries Research Institute's Mortality and Longevity Strategic Research Program, focusing on the potential impact of Artificial Intelligence (AI) on human longevity and its consequences for modeling future survival/mortality. Details submission rules, sample topics, and awards for essays exploring this subject.

Description: This article summarizes findings from a recently published peer-reviewed study in the Journal of Risk and Insurance (Hanewald et al., 2025),[1], which examined how access to housing wealth affects stated demand for LTC insurance in China. We conducted a survey of homeowners aged 45-–64 across 49 cities in China and found that offering reverse mortgages or home reversion products significantly increased stated demand for LTC insurance. This article highlights the study’s key results and implications for insurers, actuaries, and policymakers.

Description: Private LTC insurers are paving the way for value-based care through working to implement care management programs that improve the lives of their policyholders before and during a claim. However, measuring the effectiveness of these new programs is a challenging task. In this article, we will explore powerful tools that can enhance traditional effectiveness studies and address some of their existing weaknesses.

Description: Mortality data and results for care home residents in England and Wales. Looking at numbers of death may indicate that there are fewer rate, but diving deep into various sub segments and looking at death rates, tells a different story.