Description: This report is a discussion of the significant challenges involved in attempting to research with robust analysis the impact of disparities in health care access, cost and quality of care on financial wellness across racial, ethnic, socioeconomic and other demographic groups in the U.S. for reasons other than or in addition to income, wealth or employment status.

Description: This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in the insurance industry and proposes various interpretable methods to enhance transparency and understanding.

Description: A multi-author collection exploring how catastrophe modeling can be adapted to life and health insurance, particularly in response to the 2025 Los Angeles wildfires.

Description: This study evaluates how integrating social determinants of health (SDOH) into Medicaid risk adjustment models impacts financial outcomes for ACOs/MCOs, offering foundational insights for policymakers and actuaries.

Description: This report examines the demographic, medical, and pharmaceutical profiles of HIV-positive individuals in Medicare and how their needs differ from the general Medicare population.

Description: Summary of an expert roundtable on generative AI in healthcare and health insurance, focusing on use cases, governance, trust, risks, and evolving actuarial skills.

Description: The Candidate Connect at the 2024 Health Meeting provides information, inspiration and networking opportunities to actuarial candidates pursuing their ASA.

Description: Session Categories

Description: Connect with the health actuarial community -- explore innovative solutions, advance your career, and participate in engaging, interactive events. Join the industry’s leading actuaries, analysts and professionals to network and discuss the impacts of the latest marketplace factors and trends.

Description: Explore the findings from the research paper recently released by Milliman and the SOA, highlighting the growing need for support of informal/family caregivers. We will discuss both quantitative and qualitative data that illustrates not only the cost and burgeoning need, but the mental/emotional stressors that come along with this work.