Description: This session will bring together the results of SOA work focusing on what employees prefer in retirement. The work includes a survey on the provisions that employees prefer in retirement plans, the results of a series of focus groups conducted with individuals prior to retirement and at various stages of during retirement, and highlights of 20 years of SOA sponsored surveys on retirement risk. The panel will discuss major findings and their implication for retirement resource program structures, design and planning.

Description: 2025 Board Member Candidate

Description: In this session, you will learn about key cost drivers in pharmacy trends, including but not limited to: New high-cost drugs, including gene therapies, that treat rare and/or expensive conditions such as spinal muscular atrophy (SMA), inherited retinal disease, hemophilia A and B, Duchenne muscular dystrophy (DMD), sickle cell anemia and cerebral adrenoleukodystrophy (CALD) Other cost drivers in the prescription drug category, including the emergence of GLP-1s, digital therapeutics, targeted immunomodulators, accelerated approval drugs and expanded indications The implications of the end of the COVID-19 Public Health Emergency (PHE) on the costs of COVID-19 vaccines, testing and treatment claims Downward influences on pharmacy costs, such as the availability of new generic drugs and biosimilars Emerging trends in pharmacy benefits manager (PBM) contracting, the initial portion of this discussion will be led by a pharmacist and former state pharmacy director.

Description: This paper offers a technical overview of the mechanics of Generative AI, with several actual examples throughout. It is intended to be a practical introduction to the concept, not a comprehensive view.

Description: Review a recently completed research project for a multi-stakeholder data consortium on social determinants of health (SDOH). In this project, claims, external SDOH data, geospatial analysis, and machine learning models were used to examine several questions: How to identify SDOH vulnerabilities? How sensitive are the findings with respect to provider coding pattern variations? How much variability in cost can be explained by SDOH vs. morbidity? What are the key risk drivers revealed by machine learning models? The session will review the methodology and main findings from this project.

Description: Focus on how innovative health care organizations develop their value proposition for their intended buyers. Presenters will share information about their specific solution and the methods used to derive credible savings estimates, ROI, and performance guarantees. Learn about data utilized, the methods deployed, advantages, disadvantages, and buyers' reaction. This session is expected to be technical, highly informative, and interactive with audience members.

Description: The Health Care Cost Trends Strategic Research Committee is looking for a risk project that will examine changes in medical utilization and cost trends as well as shifting services.

Description: 2025 Health Meeting Call for Proposals

Description: This project was developed by the Predictive Analytics Subgroup of the Society of Actuaries (SOA) Research Institute’s Individual Life Experience Committee (ILEC).

Description: The document is a Request for Proposals (RFP) for a research study on offshore life and annuity jurisdictions' reinsurance landscapes, commissioned by the Society of Actuaries Reinsurance Section. It outlines the background, purpose, research objectives, proposal requirements, selection process, submission details, and other related information.