Description: The resumption of Medicaid redeterminations following the conclusion of the COVID-19 Public Health Emergency (PHE) represents a significant disruption across multiple lines of business in the health care market. While there has been much uncertainty regarding the timing and pace of the resumption of redeterminations, 2023 is beginning to bring clarity to the myriad questions posed by states, employers, managed care organizations (MCOs), and other interested stakeholders. Begin with a brief review of the latest developments regarding the end of the PHE and resumption of Medicaid redeterminations. Then, transition to a panel discussion on the various impacts that key stakeholders are starting to see, and expectations for short-term and long-term impacts to programs, plans, and businesses.

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: The SOA Research Institute has been publishing its annual Getzen Model of Long-Run Medical Cost Trends for the past decade. The Health Care Cost Trends Strategic Research Committee is looking for a researcher to build on the legacy of the Getzen model and provide annual updates to the SOA’s long-term health care trend projections.

Description: This paper helps the audience understand the actuary’s role in estimating the financial impact of primary care programs. In addition, the paper can be used by actuaries to think about key issues when estimating the financial impact of their employers’ and clients’ own primary care programs.

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: 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: 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.