Description: Discover the impact of COVID-19 on member costs post diagnosis and the future of mortality in this Emerging Long Term COVID-19 Trends webcast. This webcast will be split up into Health and Life portions. During the Health portion of this webcasts, you will learn more about the impact on risk scores due to recent findings. Enjoy this discussion and further dive into the emerging COVID-19 trends that may affect how you conduct business practices. At the Life portion, the SOA Research Institute assembled a panel of mortality experts who will express opinions on the effects of the U.S. mortality rate for general, insured and pension populations in the short-term.

Description: The COVID-19 pandemic has had an impact on all aspects of daily life and its impact extends to how disability incidence may play out in the future. Product profitability will be shaped by how morbidity patterns, interest rate levels and other key drivers will play out into the future. In this session, our panel will discuss COVID’s impact on IDI morbidity experience as observed over the past 18 months, offer comparisons and insights in light of other insurance lines of business, and share emerging information on the on-going effects of Long COVID. Highlights will also include how regional differences and implications for insurers as the industry moves further into the COVID vaccine era.

Description: Health equity is taking a front row focus in many health arenas. Take a closer look at some of the efforts being used to ensure health equity. One area of interest to actuaries is value-based insurance designs (VBID). VBID can be incorporated into exchange plans. These innovations to prevent and treat disease have led to reductions in morbidity and mortality. Learn techniques to improve the quality of care and reduce barriers to high-value care in the form of high-cost sharing.

Description: You will be reminded how to spot and avoid statistical biases and fallacies that are common to health care actuarial data and problems. We plan to explain various statistical biases and fallacies and for each show one or two examples of how they might pop up in healthcare data and what strategies can be used to avoid/account for them. Likely topics include simpson's paradox, regression to the mean, base rate fallacy, sampling bias, survivor bias, Berkson's fallacy, and others.

Description: Planning for retirement is at the top of many minds. How do I save? When is the right time? What are my plans? But what are the impacts of your health on retirement? Learn more about the effects of a healthy lifestyle on retirement in order to maximize life span. Review more in-depth findings from a recent report sponsored by the SOA Research Institute’s Aging and Retirement Strategic Research Program and conducted by the Vitality Group, as well as other expert insights.