Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

Description: "On the decomposition of mortality models into causes of death – Andrés M Villegas Ph.D – UNSW Australia, Madhavi Bajekal, Ph.D.,HONFIA, University of London, UK, Steven Haberman, Ph.D. – Bayes Business School, University of London, UK Forecasting cause-specific mortality rates using the insights from the cointegration analysis, Séverine Arnold, PhD, Viktoriya Glushko, Department of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne, Switzerland"

Description: Some research implies that micro SDOH-related risk factors can influence a significant proportion of an individual's overall health outcome. Contained in SDOH are items such as mental health, ongoing social connection and interactions, transportation, financial confidence, and other items.

Description: General Session III – The Ageing Process: From New Technology to New Medicine

Description: Retirement planning generally includes a focus on decisions needed at time of retirement, but it often fails to focus on changes during retirement and additional decisions needed as people age. The 2021 SOA Risk Survey and other SOA research documents the lack of focus on future change. It is common for people to lose cognitive ability and generally to become less able to make decisions, manage their finances, their medical care and their lives at high ages.This panel focuses on communication and decision issues. The SOA has recently issued a decision guide on High Age Decisions. The brief identifies four domains for high age decisions: ·Health, health care and staying healthy ·Managing finances ·Housing and transportation ·Support networks The panel will include a discussion of communications and how we change, problems of physical, hearing, sight or cognitive decline and the challenges created and the four domains in the SOA Decision Brief.

Description: Come discuss how reinsurers can work side by side with insurer to better develop products, and lift in the areas that reinsurers have more experience, help matching products with distributions (or vice versa) and provide advanced technologies associated with tools and software. The speakers will also present Direct to Consumer plan from various points of view, i.e., distributors, carriers, and reinsurers. Some case studies will also be presented where traditional reinsurers and asset-intensive reinsurers helped insurers bring products to life.

Description: This session will discuss: • What is social insurance and advantages of financing LTSS that way • Design decision points for an LTSS program • Existing examples of programs in the US and Abroad • Challenges and differences in pricing state-based LTSS financial reform.

Description: Prepare for an interactive session around how members choose a Medicare Advantage Plan, and how actuaries can help be part of the discussion! You will participate in a decision-making activity to set the stage for understanding member selection. Then, dive into an actuarial analysis of the 2023 Medicare Advantage competitive landscape, with an emphasis on what benefits drive membership decisions. This presentation will evaluate plan components prevalent amongst the strongest plan offerings in the market, including supplemental benefit prevalence, member cost sharing, and the underlying benefit value. You will better understand which benefits drive the most significant membership changes, as well as how to think about what the most impactful benefit changes will be for 2024.

Description: A diverse panel of health actuaries will be available to answer any attendee questions. An ACA question, we have it covered! A valuation question, we will find a solution. A professionalism issue, we will make a ruling! A regulatory concern, we will help guide the way!! No question is off limits! There are no stupid questions!

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.