Description: This session will explore the financial health of rural hospitals, especially as it relates to the impact of payer cost containment strategies and government policies. Since 2005, more than 100 rural hospitals have closed and 600 more are at risk.

Description: Both the SOA and AARP will showcase their recent research projects highlighting the impact of marginalization on aging and retirement. Learn how being a member of a marginalized group changes your outcomes as well as your perspective on aging and retirement.

Description: The SOA has been interested in financing of long term care for many years. As part of this interest, they approved a state-based research effort in the chosen location of Minnesota. Join authors of the research as they present their findings . The research effort looked at stakeholder responses in Minnesota to several designs that would create a state-based catastrophic long-term care insurance program. The conceptual work was based on efforts by Cohen, Feder and Favreault using the DYNASIM model created by the Urban Institute. Catastrophic coverage would be provided after a variable waiting period based on income. Private resources, including long-term care insurance, would be expected to cover the front end. (Persons on Medicaid would continue to have their gap coverage provided by that program).

Description: The document is a report summarizing key findings from the 2024 Retirement Risk Survey conducted by the Society of Actuaries Research Institute and Deloitte Consulting LLP. It focuses on the impact of family support on retirement planning and readiness among Americans ages 45 to 80.

Description: What are the recent expectations of long-term trends in mortality? What are the limits to improvements in longevity? Join us as we review the factors impacting U.S. population mortality in the eyes of demographers. By the end of this session, you will have an awareness of the major causes of mortality and how they are trending.

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: This topic will explore current and upcoming changes to the risk adjustment models and strategies for payers and risk bearing providers to reduce/avoid headwinds and potentially come out on top in the years ahead. We will discuss the timeline, nature and motivation for changes as well as the anticipated associated impacts.

Description: On July 1, 2023, CMS began their latest Medicare Oncology program, Enhancing Oncology Model (EOM) which was the successor to the previous Oncology Care Model (OCM). Despite a high level of interest during the application period, this model has been met with limited participation, with only 44 participants at the start of the program.

Description: Call for essays on how actuaries can apply their financial skills to support non-profit financial management and promote societal purpose.