Description: 2021 Life Meeting - Session 7D: Emerging Trends in Lapse and Mortality for Life Products 9.1.21 Recording

Description: Explore a general overview of the Medicare Advantage VBID hospice model, including program goal and a brief review of available information on plan participation in 2021 and 2022. Join us to learn how the program can support other elements related to health equity and address social determinants of health. You will be able to focus on how to improve quality of life and care using palliative, concurrent and/or transitional care and hospice services. Elevate your understanding with a summary of publicly available hospice experience data published by CMS, as well as a review of published research by the SOA and others related to hospice and end of life care. Finally, expect technical guidance regarding VBID model financial implications and proposed enhancements to the program as CMS transitions from the current model due to expire at end of 2024.

Description: Are you searching for an overview of the SOA Research Institute's Mortality & Longevity Strategic Research Program? Join us for an introduction into studies focusing on the historical U.S. population and insured mortality trends. Two research projects are observed in this webcast, one examining the impact of COVID-19 on mental illness and the impact of mental illness on U.S. Mortality & Longevity. The second study looks into the Group Life COVID-19 Mortality Survey and the high level view of U.S. group term life insurance mortality results during the pandemic. Come explore the research goals and the future for the Mortality & Longevity Strategic Program.

Description: Artificial intelligence (AI) models have become increasingly popular in various industries, including finance. Such models can help lenders assess the risk of loan applicants, identify potential defaults and make better decisions about granting credit. However, the complexity of many machine-learning and, particularly, deep-learning models makes it difficult to understand how they arrive at their decisions. This lack of interpretability can be a significant problem in the legal and ethical realms, as it hinders transparency and accountability. Join us to learn interpretability techniques that are essential to address the challenges of using complex AI models in credit risk modeling. These techniques aim to provide a better understanding of how an AI model arrived at a particular decision or prediction. Techniques include surrogate models, which aim to provide a simpler model that approximates the behavior of the original model, and decision trees, which show the decision-making process in a more transparent way. However, applying interpretability techniques to AI models can be a challenging task. For example, some techniques can reduce the performance of the model, which can be unacceptable in applications where high accuracy is critical. Additionally, some techniques may only be effective for certain types of models or datasets, which limits their applicability. Despite these challenges, interpretability techniques are becoming increasingly important in the field of credit risk modeling. Financial regulators have recognized the importance of interpretability, and are starting to require financial institutions to use models that can be explained and validated. In addition, interpretability techniques can be used to improve the performance of credit risk models. By understanding how a model makes decisions, it is possible to identify areas where the model can be improved or where additional data may be needed.

Description: What are the recent trends in mortality? Should we expect different mortality experience in a post-COVID-19 world? Join us as we review the latest emerging trends in U.S. population mortality.by the end of this session, you will understand the impact of COVID-19 on future mortality experience. You will also have an awareness of other major causes of mortality and how they are trending.

Description: The COVID-19 pandemic will have a lasting impression on all forms of life, annuity, and A&H insurance. Individual and group disability insurance are no exception. Examine how U.S. group and individual disability insurers have been impacted by the pandemic and how they are preparing for an uncertain future. Oliver Wyman will team up with experts from the insurance industry to discuss insights on the impact of COVID-19 on disability insurance, including results from Oliver Wyman’s 2022 industry survey. Learn about the past, current, and future expected impacts of COVID-19 on: - Claim experience (including mortality, incidence, recovery and SSDI offsets) - Reserving - Scenario testing - Insurer operations (e.g., claims adjudication, recertification) - Sales and persistency By attending this session, you will be able to: - Understand how disability insurers have been impacted by the pandemic across multiple facets. - Identify where and how U.S. disability insurance carriers are adapting to the new and evolving environment. - Discover how carriers see disability insurance evolving as the COVID-19 pandemic continues.

Description: Get an in-depth explanation on how data scientists and actuaries can work together to battle the issues arising from big data. Join our focus on the insurance industry as a whole and look at data scientists' and actuaries' roles from the views of different areas of the industry. We will also focus on how data science can be a valuable tool for actuaries. After the session, you will be able to understand: - How developments in data science are shaping Insurance Industry practices - How data scientists can help actuaries - How data science can be used to improve analysis of industry experience

Description: In summer 2021, the SOA Research Institute’s Mortality and Longevity Strategic Research Program sponsored a webcast examining individual life and group life emerging mortality in a COVID-19 world. Since then, Delta and Omicron coronavirus variants have fueled waves of the virus in the U.S., boosting the total number of COVID-19 deaths since the beginning of the pandemic to near the 1 million mark. Hear an update and insights into how the life insured population is faring during COVID-19 by discussing the findings from two recent SOA Research Institute initiatives. LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA) and TAI have collaborated to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience. Additionally, the SOA Research Institute has surveyed insurers to gather a high-level view of U.S. Group Term Life Insurance mortality results during the COVID-19 pandemic, comparing them to pre-pandemic mortality levels. The Group Term Life industry mortality results will be presented with monthly data through March 2022.

Description: Focus on Accelerated Underwriting (AUW) in the life insurance industry, which is an expedited underwriting process that utilizes predictive models. Expect to address the challenges in designing the process, from modelling to performance monitoring. Additionally, you'll address risk management, particularly in mortality and proxy discrimination andhighlight the role an actuary can play in the AUW process, as well aswhat they should know to contribute effectively.

Description: Anti-obesity medications have been met with reluctance from payers and employee benefits consultants who often lack analogs or empirical data to estimate the cost impact of new therapies coverage. Health plans considering coverage of anti-obesity medications will need to assess and manage the potential costs of covering these new therapies in context of their overall obesity management strategy, including coverage of nutrition counseling, weight management, and bariatric surgery.