Health Section: Estimating Large Claims – Predictive Modeling vs Traditional Methods

Research isn't just for academics! This episode reveals how broad the impact of SOA research is – balancing the retrospective with the prospective – and why it's essential for actuaries and the broader public. YPAC Vice-Chair Tasso Bountouvas and guest R. Dale Hall discuss misconceptions, real-world applications, and how you can contribute – no PhD required. Tune in for practical advice, inspiration, and a glimpse into the future of actuarial science.

Listen in as Greg Fann interviews Moshe Nelkin about Medicare Supplement insurance. We will take you from Medicare basics through product details covering pricing assumptions, factors driving claims trend, regulatory considerations, challenges, opportunities, and more.

Roger Loomis sits down with Stephanie Moench and Michael Rustemeyer to discuss their paper that was just published by the SOA Research Institute: "Long-Term Care Wellness Primer", which can be downloaded here: https://www.soa.org/resources/research-reports/2025/long-term-care-wellness/

Listen to Juan Herrara and Danny Moore discuss pending claims, large claims, and using predictive analytics and other modeling techniques to develop these estimates.

Join host Tiana Zhao as she explores the cutting-edge trends reshaping the insurance landscape. From AI-driven underwriting to climate-focused products, this episode of the SOA Marketing and Distribution podcast dives deep into the technological and societal shifts transforming how we think about risk and protection. Discover how insurtech startups, IoT devices, and changing consumer expectations are driving innovation in product design, distribution channels, and customer experience. Whether you're an industry professional or simply curious about the future of insurance, this podcast offers valuable insights into the forces shaping the industry's evolution and the opportunities that lie ahead.

Anders Larson and Shea Parkes discuss using GenAI applications with coding agents to simulate healthcare costs.  They revisit the distinction between large language models (LLMs) and the applications that wrap them.  They then use some newer GenAI application functionality to generate some simulated healthcare cost distributions.  During their discussion they explore what domain knowledge the modern LLMs already have, and how to supplement that with their own domain expertise.

Description: Listen as co-hosts Jackie Lee and Josh Hammerquist speak to data scientist Supriya Ramachandra as they discuss how she attacks messy data with Artificial Intelligence and Machine Learning. From this discussion, actuaries will learn about how these cutting-edge tools can be used in their work. PleaseNote:  At timestamp 11:00: The training data was created through manual annotation — it took 4 annotators about a week to label the clinical notes. At timestamp 12:24–12:26, we said "non-supervised" — the correct term is "unsupervised learning."

In this month's YPAC podcast host Shawn Stender, FSA, MAAA will be joined by Simon Gervais, FSA, MAAA to discuss an often-overlooked topic for young actuaries. With so much focus given to career advancement and "managing up," actuaries looking might overlook the benefits of managing down to promote younger professionals within their organization. This podcast will discuss how managing down can not only benefit your career, but also the actuarial profession. 

Join Danny Moore and Aaron Jurgaitis as they discuss tertiary and quaternary care from an actuarial perspective. Danny and Aaron discuss: Definitions around the different levels of care, from primary up to quaternary Specifics around the types of care delivered in the specialized facilities that deliver this care, and The key themes actuaries need to keep in mind when analyzing data that include these types of services. Aaron shares information from his background of performing analysis for pediatric and academic facilities that highlight important factors that actuaries should consider, such as relative efficiency, referral patterns, episodes of care vs. points in time, and the specific value of expertise that these facilities contain. The information shared is relevant from both a provider and payer point of view, and will broaden your understanding of the unique characteristics of tertiary and quaternary care providers.

In this episode Joe Alaimo interviews Jeremy Levitt.  Actuarial models are central to decision-making across insurance, finance, and risk management—but without proper validation, even the most sophisticated models can lead to costly errors. In this episode, Joe and Jeremy take a deep dive into model validation: defining its purpose, outlining key procedures, and highlighting the risks of getting it wrong. Jeremy shares expert insight on balancing thorough analysis with real-world constraints like timelines and budget, while also addressing cultural and structural barriers to effective validation. We also explore how AI is beginning to influence model validation, from automated testing to AI-driven challenger models. Whether you're a practicing actuary, a risk professional, or a stakeholder relying on actuarial outputs, this conversation offers valuable guidance on how to build confidence in your models—and the decisions they support.