Description: Join the PAI-SOA Joint Seminar to connect with actuaries, insurance, finance, and investment professionals from Indonesia, the Asia-Pacific region, and beyond. Enhance your professional knowledge and connections in this collaborative environment.

Description: The Supplemental Health, DI & LTC Conference provides a unique opportunity to consider a cross-functional view of supplemental health products, individual disability insurance, and long-term care standalone and combination products.

Description: Explore the value and cost of prescription drugs, how they should be defined and measured and the effects various stakeholders in the pharmacy ecosystem can have on these factors in the latest webcast. You'll investigate the impact of coverage, formulary and rebate negotiations and related benefit design. Find out how actuaries can answer questions related to the prescription drug industry, in addition to improving the access, quality and affordability of prescription drugs in the United States. Join us for this webcast and come learn about value-based contract design, negotiations, implementation and administration for prescription drugs.

Description: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.

Description: This article is aimed to cover the following: 1) Provides an assessment of income volatility under Long Duration Targeted Improvements (LDTI) for several key types of long duration contracts along with select illustrations, and compares against those under current GAAP, 2) Discuss areas where accounting policies or methodologies can influence income volatility, and 3) Show how a company's management reporting can be adapted to help explain income variances under LDTI.

Description: Actuaries pride themselves on innovation and advancements; but no professional field has pushed to set the bar higher than medical Radiology. Over the course of the last few decades, medicine has begun to rely more on artificial intelligence to aid in the process of patient care; and the results have been outstanding! This article looks to show how high the bar has been set, how it will impact the current state of the world of the actuary and the future impacts

Description: This essay collection examines how changing family dynamics shape retirement security, offering insights on demographic trends, policy design, and actuarial strategy—because retirement is the ultimate family affair.

Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.

Description: Healthcare risk adjustment methodologies have become increasingly complex, largely due to the belief that complexity enhances accuracy. However, a disconnect exists between how healthcare risk is assessed and how payments are adjusted. This article explores the stark difference between measuring the accuracy of a risk assessment model at a member level, and that of a risk adjustment mechanism at the health plan level. I show that a highly simplified approach that does not use diagnosis codes can have similar accuracy on risk adjusted payments to models that do. These findings suggest that accuracy is not a barrier to developing simpler risk adjustment methodologies, which can improve payment accuracy and reduce the financial incentive for coding diagnoses.