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: 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: 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: In today’s business world, many financial decisions undergo considerable analysis before the decision is made and the decision-maker is often held accountable for the outcomes. The purpose of this research is to introduce the concept of total risk analysis (TRA), which is designed to help the decision-maker answer key questions at the time the decision is made. This paper will focus on a specific example of a typical healthcare decision: setting a budget for claims in the upcoming year. In addition to explaining TRA and providing a case study, this paper presents quantitative research regarding cost distributions for health care costs.

Description: The SOA Research Institute Aging and Retirement Strategic Research Program and the Long-Term Care Insurance Section are pleased to make available a research report analyzing the need for informal caregiving and its impacts on employees, employers, and other stakeholders.

Description: This is a study to perform a mortality analysis of the 1898-1902 birth cohort.

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: 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: 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