Description: Presents a step-by-step methodology for calculating confidence intervals for IBNR estimates derived using the Averaqe PMPM method. It is a companion article to the January 2023 Health Watch article presenting the Average PMPM method for generating point estimates of IBNR with zero claims runout.

Description: The instructors in this boot camp session will highlight the SOA's work on an updated Medicaid underwriting margin model. This research project includes an excel model, a set of instructions and a paper describing the key components of underwriting margin, including cost of capital and risk margin.

Description: Private LTC insurers are paving the way for value-based care through working to implement care management programs that improve the lives of their policyholders before and during a claim. However, measuring the effectiveness of these new programs is a challenging task. In this article, we will explore powerful tools that can enhance traditional effectiveness studies and address some of their existing weaknesses.

Description: This session introduces you to the next level of gen AI: AI Assistants (also known as Custom GPTs, Gems, or Bots). An AI Assistant is a specialized, tailored version of a Large Language Model (LLM) that allows the user to produce a persistent, pre-programmed tool designed to handle complex, repetitive professional tasks with guaranteed consistency, accuracy, and alignment. We will move beyond casual prompting to explore the mechanical architecture required to build reliable, high-stakes assistants for a variety of applications.