Description: "Examine the exciting possibilities for artificial intelligence (AI) in health care and its potential to transform the patient journey. You will learn about the various touchpoints where AI is being applied along the patient/care journey, including provider search tools, claims analysis, and fraud detection. By attending the session, you will be able to: Have a comprehensive understanding of the opportunities and challenges presented by AI in health care Evaluate the potential impact of AI on their own organizations Be equipped with strategies for effectively implementing AI solutions and maximizing their benefits for patients, providers, and payers"

Description: In honor of Bob Barker's 100th birthday (December 12, 2023), we will examine the emerging development in the opaque world of health care prices. 'Referenced Based Pricing' has been a cost-cutting strategy applied by some self-insured employers, but administration, employee dissatisfaction with balance billing, and litigation have been barriers to growth. The new transparency data has yielded research indicating that 'cash prices' are lower than commercially negotiated rates in some areas. Dive in with industry experts as they discuss emerging trends of how consumers, employers, and health insurers will pay for health care services.

Description: The American Academy of Actuaries Health Solvency Subcommittee and the NAIC Health Risk-Based Capital (E) Working Group are in the process of analyzing and reviewing the H2-Underwriting Risk component and the managed care credit calculation in the health risk-based capital (HRBC) formula. Come learn what changes are ahead! While RBC is designed for solvency issues, also come hear about other ways health insurers manage their capital and surplus levels. Are others doing something you should try?

Description: This session will cover the current and potential use of artificial intelligence (AI) in the health care space. Participate in this interactive session and learn how AI is being used today and discuss its potential to reshape and revolutionize health care. You will get an opportunity to learn how AI can influence patient experience in every phase of healthcare delivery and talk about the challenges and limitations that arise with the use of this technology.

Description: This presentation will explore innovative approaches to high performance networks (HPN). The session will compare the more traditional narrow network solutions offered by national carriers vs. different models established by newer vendors that focus on a different value proposition and/or does not involve narrowing the network at all.

Description: The Medicare Advantage (MA) program is facing challenges in the coming years due to a number of headwinds: Star rating program changes, the Inflation Reduction Act (IRA), revenue pressures, mergers/acquisitions, and risk score model changes, just to name a few.

Description: Model design is an important part of being an actuary, and the SOA highlights the importance of the actuarial control cycle of model design, evaluation and monitoring. What tools are at our disposal for these steps? When should we be concerned or excited about model performance? Can we, and should we, use machine learning tools to assist with model improvement or development?

Description: This report examines lapse experience on individual disability income insurance products by various policyholder and product factors. The study can be used for industry benchmarking as well as for background information for product development and planning purposes.

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: Fifty-three percent of Americans responding to a survey conducted by the Society of Actuaries (SOA) Research Institute reported that extreme weather events – including hurricanes, tornadoes, heatwaves, wildfires and flooding – have adversely affected their health.