Description: For decades, drug overdose deaths have been increasing within the U.S., with opioid-related mortality driving this increase. The Society of Actuaries Research Institute (SOA) sponsored this research to investigate the trends and drivers behind drug overdose mortality and substance-related deaths as a whole. Findings provided a range of insights surrounding substance use disorder, drug overdose and alcohol-induced mortality, and considerations for insurers.

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: Renal disease is a very heterogenous medical condition whose end state is dialysis, a recurring cost intensive medical condition. Dialysis cost is one of the major medical cost drivers in USA. Insufficient and improper care management in the early stages of CKD (chronic kidney disease) leads to early incidence of end stage renal disease (ESRD) among CKD patients which not only leads to high medical costs, but also reflects poor health quality.

Description: Medicare Advantage plans have been in the market for two decades. In this session, we survey the landscape changes from 2006 up to now, which include but not limited to the changes of enrollment, plan types, big players' market share, policies, and how players as well as beneficiaries react to the changes. This session intends to provide general MA knowledge and history to the audience with or without Medicare Advantage background.

Description: In this AUW-inspiring session, we'll dive into a decade-worth of accelerated underwriting (AUW) random holdout and post-issue audit data collected across 30+ industry programs and learn monitoring best practices directly from two life insurance underwriting experts on the 'front lines' of monitoring. From the industry study, we'll explore misclassification trends, including the characteristics of applicants most likely to be misclassified in a random audit and how we use this monitoring data to estimate excess mortality 'slippage' in AUW programs. From first-hand experience, underwriters will highlight the challenges and benefits of various monitoring methods, including resource constraints and how targeted auditing can be leveraged to guide future program enhancements. Lastly, we'll discuss when year-over-year trends and claims experience become credible, and in the meantime, how to look for value beyond the slippage estimate to improve fluidless underwriting programs moving forward into the next decade and beyond! Learning outcomes: 1) Gain a solid understanding of common monitoring practices in accelerated underwriting programs 2) Explore an in-depth monitoring study of 30,000+ random holdout and post-issue audit cases across 30+ AUW programs spanning over a decade of issue years 3) Learn how to use monitoring data to estimate excess mortality 'slippage' in AUW programs 4) Discover how monitoring insights and techniques can be leveraged to improve fluidless underwriting programs moving forward

Description: Modern actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it.

Description: Virtual - Session 2D: Navigating Risk Management in Gender - Affirming Care

Description: Hear about some applications using quantile regression-derived individual and group claim distributions and how they may be used in various traditional health care modeling situations. The session will not focus on the technical use of quantile regression to obtain estimates of claim distributions, but more so is intended to focus on the uses of the distributions in actuarial modeling and the additive framework in assessing claims distributions. Presenters will show how actuaries can better assess risks by focusing on the individual- and group-specific claims distributions as opposed to traditional point-estimate-centric models.

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: With mortality rates significantly higher in 2020 and 2021 due to the COVID-19 pandemic, actuaries that rely on historical experience cannot properly craft assumptions about the future due to the recent excess deaths. This webcast focuses on the practicality of using pandemic mortality experience, as well as how to overcome the practical challenges of that data implementation. Explore an overview of different approaches used by institutions in the U.S., Canada and UK and an observation of industry survey responses. There will also be a comparison to recent SOA expert opinion surveys and short term impacts on the future of U.S. mortality.