Description: Discuss changes in group life waiver of premium claim recovery and mortality experience since the 2005 table was released, the development of the 2023 table, and the new statutory valuation standard approved by the National Association of Insurance Commissioners (NAIC).

Description: Discuss population mortality improvement trends in the U.S. This will include analysis of cause of death data and trends in mortality pre-pandemic and during the pandemic. We will also discuss ways to think about translating population mortality improvement to an insured population.Learning outcomes includea better understanding of the drivers of recent mortality improvement and insights on how to create a company view on mortality improvement.

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: 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: Open source programming languages have become a common part of the actuarial toolkit over the years. Using tools like R and Python, highly technical actuaries can automate onerous processes, easily work with massive amounts of data, create models and generate reports. Although these tools excel at turbo-charging analysts, it can be difficult for benefits to inure to the rest of the organization given the learning curve (“Can’t you just put this in Excel?”), control risks (“So your entire process could break overnight if some random person in Nebraska changes something?”), and internal IT environments. Listen in on a panel discussion where presenters share their personal stories of working with open source in a production setting. Hear about real world business problems, how open source tools were used, what risks were present, how they were overcome and the final business result.

Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: Are Accelerated Underwriting (AU) programs performing as expected? As mortality experience will (hopefully) be slow to emerge, it is pivotal that we look at alternative methods of monitoring early performance. From random hold outs, to post-issue APS's, and post-issue prescription profiles, explore popular monitoring techniques and lessons learned so far. Focus on confusion matrices that provide an early indication of mortality slippage relative to fluid-based underwriting decisions. Finally, explore statistical methods to determine what constitutes credibility and identify opportunities to think about mortality slippage more robustly.

Description: The supplemental health market is changing. Carriers are looking to simplify claims processes, proactively identify missed claim opportunities, and reduce barriers to claim payment. As a result, more and more companies are looking at ways to use data from medical diagnostic and treatment codes. Take an introductory look at the most used medical codes—ICD (9 and 10), CPT, and HCPCS. Discuss the history and purpose of each code system and decipher the structure. Dive into how medical codes can be used in the supplemental health market (automatic claims adjudication, fraud identification, pricing), as well as common pitfalls encountered when using medical coding. By attending this session, you will have a basic understanding of the different types of medical codes, their actuarial applications, and common pitfalls.

Description: Discuss policyholder behaviors that evolve throughout the life cycle of a typical VA annuitant, with supporting data from industry-level experience studies during this interaction session. The following behavior assumptions and their implication under accounting/regulatory requirements will be covered: - Separate account/fixed account allocation and transfers - Deposits - Surrenders - Withdrawals - Income utilization - Mortality By attending the session, you will: - Identify policyholder behaviors that would transform at different stages of life cycle. - Understand key aspects of industry-level policyholder behavior experience. - Form a dynamic view in the assumption setting.

Description: The time has arrived for ASU 2018-12, otherwise known as Long-Duration Targeted Improvements (LDTI). For health insurance products, the ASU will require considerable efforts to make the necessary changes to valuation systems, procedures, assumptions, and/or methodologies in order to be in compliance. This session is designed to cover LDTI implications specific to carriers of long-term care and supplemental health products, including changes to how attained age rated products will be approached, allocating and discounting the claim liability (IBNR), and how the treatment of Profits Followed by Losses (PFBL) will evolve under LDTI. By attending this session, you will be able to: • Understand LDTI’s key impacts on long-duration health insurance products. • Recognize the treatment of attained age rated products under LDTI. • Comprehend the requirements of allocating the claim liability to cohorts. • Grasp the requirements pertaining to the discounting of the claim liability. • Understand how PFBL will evolve under the new standard.