Description: Paid Family and Medical Leave (PFML) benefits have expanded rapidly in recent years as an increasing number of states have required employers to provide these benefits to their employees. Examine recent developments in PFML benefits, for example, the presenters will provide information on which states are introducing or considering PFML programs, what types of benefits are provided, what types of data is available to monitor experience, and what challenges programs have encountered.

Description: Hear an overview of recent results and potential scenarios that may impact the future of the ACA market. Review recent reported industry level profitability before transitioning to a discussion of how current market dynamics may influence the future profitability of this segment. Results from microsimulation economic models will be presented to help illuminate market shifts. Issues that will be explored include how ICRA availability might influence individual decision making, as well as how a move to level funding is impacting the small group market.

Description: Risk adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles at a high level, their underlying methodologies and assumptions are also quite different. Due to recent events such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with risk adjustment program changes and understanding the commonalities and differences of these two government risk adjustment programs is important to our health actuaries. Compare these two risk adjustment programs so you can learn key elements of a risk adjustment program, similarities and differences in methodology and assumptions , as well as special considerations due to serving different populations.

Description: Misalignment in value-based care approaches between payers and market segments (Medicare, Medicaid, self-funded employer groups, and commercial insurance) creates significant headwinds and friction for health care providers seeking to succeed in an environment that is moving toward more value-based care models and payment approaches. However, while multi-payer approaches in value-based care are critical to eliminating these misalignments, uptake in such programs has been lagging for a variety of reasons. Hear about lessons learned from a selection of specific multi-payer initiatives to understand what went well and what challenges were encountered in expanding these initiatives more broadly. You should be able to walk away from this session with an appreciation of the potential for multi-payer approaches and the challenges faced in gaining traction with them.

Description: The health insurance industry has historically used several factors to develop premium rates. Many of these, e.g. gender rating, have been largely eliminated from health insurance rating practices by regulations as the Patient Protection and Affordable Care Act (ACA) because they were determined as inequitable. However, several other factors still remain as differentiators in premium rates charged to individuals and groups. In conjunction with the SOA, researchers studied whether there could be ‘ghost’ rating factors, like race, ethnicity, or socioeconomic status, that are inherently included in some of these remaining allowable factors. Review results and opportunities for future research. By attending this webcast, you will be challenged to think about traditional rating factors in a different way. Rather than focusing on whether certain factors are sound based on the underlying claims cost, this session will focus on whether or not these factors are impacting certain socioeconomic or racial/ethnic groups disparately.

Description: In this presentation, actuaries and data scientists from Cleveland Clinic and Milliman discuss the development of a sepsis prediction model using machine learning. Presented with a unique challenge of handling massive amounts of data for near real-time risk scoring, the team took their model development to the cloud and delivered a product in less than a week through a unique virtual engagement.

Description: Health is wealth, but much needed medical insurance for various needs is perceived solely for the wealthy and elusive to many. This webcast brings two highly regarded speakers in the health sphere to bust the myth that medical insurance is reserved for the wealthy and only covers known illnesses. The discussions will further dwell on products that are designed based on financial capability and customized needs while transgressing on risks and sustainability of creative products such as mental health.

Description: The Part D program is funded through a variety of government subsidies and manufacturer discounts. The federal reinsurance, initially designed as protection from catastrophic spending, became a primary source of subsidies for the program. When the Inflation Reduction Act (IRA) is fully implemented in 2025, the funding of Part D will realign to its original intent.

Description: "Examine the impact of traditional deductibles on health care equity and the need for innovative plan designs. You will learn about the limitations of consumer-driven health care costs broadly today, as well as alternative cost-sharing approaches that have been successful in driving consumerism without exposing members to high costs. By attending the session, you will be able to: Have a clearer understanding of the issues surrounding deductibles Be equipped with practical ideas for creating more equitable and effective cost-sharing solutions Assess the feasibility and potential impact of implementing these solutions for your own organization"

Description: "Can you answer the question 'what are the chances we will lose more than $1 million next year?' without saying 'it depends'? If you miss a projection, can you quantify the chances that the miss was due to random variation vs. an incorrect projection? ten in as presenters demonstrate how to answer these questions and others using total risk analysis. Total risk analysis includes quantifying both the random variation risk and the projection risk associated with actuarial functions like pricing and reserving. After attending this session, you will be able to describe total risk analysis, apply total risk analysis to many actuarial functions."