Description: Healthcare cost trends remain a cornerstone of actuarial practice and forecasting for employer-sponsored health plans. This session will examine recent and emerging healthcare drivers of medical and prescription drug trends using data and methodologies drawn from two research efforts focusing on projecting trends and total cost of care.

Description: Actuaries historically modeled new launches in pharmaceuticals by anticipating the expected change to the market basket. This became more complicated with the recent launches of gene and cell therapies as they address rare diseases. Rare conditions have low total member volume to study and some do not currently have a diagnosis code to identify them within claims data. Addressing this modeling challenge has been growing more important in the recent years with the number of therapies launching. What has the health care industry, and more specifically health care, done to enhance modeling and how should this be altered for the future? Additionally, historic modeling has sometimes incorporated a level of direct medical treatment cost offsets where studies have shown lower treatment costs are achievable. Can gene and cell financial modeling include cost offsets as well? And if so, what are suggested precautions or limitations to this effort?

Description: Enjoy an in-depth walkthrough of the facets of the lab testing world in this webcast. The agenda will include a discussion on genetic testing, which focuses on its general background, current trends and tests in the pipeline, as well as a focus on the approaches to achieve savings in lab testing. Finally, expect to check out sample actuarial analyses that will be used to identify areas of focus in lab management. Join us and take a deeper look into lab work in the actuarial health industry.

Description: Discover a comparison of U.S. and international mandated leave programs which mandate employers to provide a minimum level of benefits to employees for qualifying leaves of absence, such as parental leave or medical leave.

Description: Cover a variety of topics centered around the unsupervised learning technique called 'clustering'. The presenters will take you through a wide array of topics that range from 'What is Clustering?' to 'How can I use this technique to solve problems I didn't even know existed?' In the health care industry, everyone is looking for an edge in reducing total spend-cluster analysis finds the unambiguous in an ambiguous framework of results.

Description: Hear about the new hope biosimilars bring in helping payers and patients manage the rapidly growing pharmacy spend. The Big Event, encompassing multiple Humira biosimilars, launches in 2023 and could set the tone for how much biosimilars can be expected to contribute to solving our pharmacy spend challenges. What will be the financial impact of the Big Event and this coming wave? What can be done to maximize adoption of biosimilars? What strategies are available to maximize savings for payers and patients?

Description: High inflation rates can affect disability insurance in a variety of ways. Learn about rising price and wage inflation trends and why they are of interest to disability insurers. You will also hear presenters address topics such as recessionary pressures, the eroding value of benefits, wage growth, top-line trends and expense pressures. By attending the session, you will gain insight into how inflation should be considered in pricing, reserving and financial modeling.

Description: The Mortality and Longevity and Catastrophe and Climate Strategic Research Programs are pleased to make available a report summarizing an expert panel brought together to discuss the impact of wildfires on U.S. health and life insurers.

Description: The COVID-19 pandemic helped accelerate many changes in the Health Care system that were already taking place. The major disruptions to the way providers operated was quite evident with shifting of focus away from elective services to create capacity for treating COVID-19. However, even before the pandemic, providers were adapting to changes in their environments.

Description: How well can we predict ACA HHS Risk Adjustment Data Validation (HRADV) results? Put another way, how susceptible is the current HRADV process to small sample volatility? What potential remedies are there to the current model's shortcomings? Every plan, regardless of how many members they have above the 1000 minimum, count equally if they qualify for an HRADV with how the result is interpreted, and the subsequent HRADV risk transfer ($330M in 2023).