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: Health care has changed rapidly over the past couple of years. The pandemic has shifted consumer behavior in how and where they receive health care as well as consumer attitudes toward health care. Payers continue to design innovative solutions in responses to their patient’s needs and expectations. These changes in consumer behaviors and the responses by payers are expected to impact both health care cost and utilization. Discuss changes in health care that have emerged due to the pandemic and how they are expected to influence actuarial assumptions. Explore epidemiological models commonly used in the industry, the considerations when using these models, as well as the challenges with regards to gathering and interpreting relevant experience data. By attending this session, you will be able to: Identify shifts in consumer behavior that have emerged from the pandemic and describe how payers are responding to new patient expectations. Discuss how these post-pandemic changes by consumers and payers influence medical spending. Determine which actuarial assumptions are impacted and how and if the impact is expected to be temporary or permanent. Discuss considerations taken by actuaries and challenges faced when modelling actuarial assumptions post pandemic.

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: 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.

Description: This session will present three utilized underwriting models that can be used for mid-size employer group medical renewals. Key assumptions will be discussed including a significant focus on the stop loss risk since that is the major insured risk.

Description: The session will highlight trends in recent industry mortality and lapse studies that have been conducted, including areas where individual companies typically have limited data. The sources of data feature SOA studies as well as other industry studies conducted by consultants and/or reinsurers. Gain an understanding of current drivers of mortality and lapse experience for life insurance evidenced in industry studies, and an understanding of available data to supplement experience in areas where you may have limited internal experience.

Description: Focus on how innovative health care organizations develop their value proposition for their intended buyers. Presenters will share information about their specific solution and the methods used to derive credible savings estimates, ROI, and performance guarantees. Learn about data utilized, the methods deployed, advantages, disadvantages, and buyers' reaction. This session is expected to be technical, highly informative, and interactive with audience members.

Description: With large public filers having adopted LDTI in 2023, company practices are continuing to evolve as it relates to experience monitoring, assumption unlocking, as well as both internal and external communication and disclosures related to assumptions. In this diverse session featuring representatives from both insurance companies as well as industry analysts, we'll explore how companies approach emerging experience in a given year through a case study approach. The moderator will explore various topics such as off-cycle experience monitoring, experience outliers, simplifications and approximations, and materiality considerations. Each 'what-if' scenario will start with a prompt from the moderator, discussion among the industry panelists as to how they would approach the situation within their own organization, followed by commentary from the analysts as to how they might expect companies to respond in each case. Audience participation will be encouraged to explore potential alternative approaches in an engaging, interactive session.

Description: This session will focus on the introduction to Medicare Research Identifiable File (RIF) data and how you can turbocharge strategic decision-making for Medicare stakeholders. Through real-world examples, we unravel the practical applications of this data for plan sponsors, pharmacies, pharmacy benefit managers (PBMs), and drug manufacturers.

Description: In this session, we will explore recent industry-wide studies focusing on mortality and policyholder behavior patterns across both Life and LTC lines of business. The Life study analyzes extensive data collected over 2018-2022, providing a unique perspective on trends heading into, during, and emerging from the pandemic. The study covers 2.5 million deaths and over 5 million voluntary surrenders and fund lapses across term and permanent life products. The LTC analysis will focus on the components of policyholder termination, with an additional perspective of total termination patterns prior to, during and post-pandemic periods. The analysis will examine cohorts of policyholders to identify the area of largest deviations from expectation and how that translated into short term results as well as where we are today. The aggregation of experience across participating companies provides insights into areas where a particular insurer’s data is not credible on its own, including: older ages, preferred/standard classes and more. At the conclusion, attendees will have an understanding of how experience emerged and considerations for setting assumptions going forward.