Description: The document provides information on the ACA@15 research project, focusing on the extent that the Affordable Care Act legislation was able to meet its stated goals of reducing the uninsured rate, increasing coverage options, and providing affordable health insurance. It includes research findings, objectives, and key takeaways.

Description: The Society of Actuaries SoA developed this research project to repeat and expand upon its “Group Medical Insurance Large Claims Database Collection and Analysis” study, which was published as a monograph in August of 1997. The general purpose of these studies is to discover and analyze factors affecting claim incidence rates and the distribution of claim sizes. This is the report for the database. Please see the SOA website experience studies for Group Health for the databases themselves.

Description: The Society of Actuaries (SOA) Research Institute revisits COVID-19's impact on future U.S. mortality with insights from a multidisciplinary panel of experts. Discover how new variants and other causes of death may influence future mortality trends.

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: 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: 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 Health Care Cost Trends Strategic Research Committee is looking for research proposals to study the impact of Artificial Intelligence on any of the following elements of healthcare • Evaluate the impact on predictability of financial results • Evaluate the impact on the efficiency of care management techniques applied to members • Compare results to traditional risk adjustment and traditional methodologies of predictive analytics • Determine an overall financial impact of applying AI to identify these high cost claimants.

Description: Report to give actuaries practical information and guidance on LTD claim credibility for case level pricing and underwriting. Stage 2 of the GLTD Credibility Study, this analysis was expanded using the industry data gathered during Stage 1.

Description: Data requirements for the Society of Actuaries cancer experience study, for those submitting exposure and claim information.

Description: The Health Care Cost Trends Strategic Research Committee is looking for a risk adjustment proposal that will examine the current risk adjustment landscape in the US and globally and the effect of increased complexity on risk adjustment accuracy.