Description: The session is based on an article of the same name featured in the January, 2023 issue of Health Watch. It gives a step-by-step method of how to apply the average paid PMPM method to calculate IBNR with zero run-out, as opposed to current methods, which generally require a three-month run-out period. Methods for obtaining confidence intervals for the IBNR estimates will also be discussed.

Description: Explore the use of conjoint analysis to understand what employees say they want and/or need in a retirement plan in newly released research material sponsored by the SOA’s Retirement Section. Retirement plans of the past were defined as a benefit or a defined contribution in nature with their attendant features. As today’s hybrid plan designs consider features of the two historical archetypes, this research methodology identifies which features of a retirement program are most important to employees. This research, coming from the SOA’s Aging and Retirement Strategic Research program, includes a tool for testing preferences for different combinations of features by different demographic groups (age, income, gender, race/ethnicity, etc.) By attending the webcast, you will be able to understand: What conjoint analysis is and how it works. Which features of retirement programs are most important to employees. How to use a tool to compare the importance of features for different demographic groups. How to use a tool to compare the level of acceptance of different retirement packages for various demographic groups. Come look at alternative plan designs (either inside or outside of what is possible today) to better understand how employees in different situations are likely to respond to the design combinations.

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: Understand the role of food based interventions in health care. Learn the difference between produce prescription and medically tailored meals. Review new policies that will affect Medicare and Medicaid populations. Evaluate the possibility of health cost savings due to these interventions.

Description: Join us for the It Takes a Village: Insurance Product Development in the Digital webcast. Focuses will be directed toward a variety of disciplines within the actuarial science industry. We will also take a deep dive into UW, Technology Product and Marketing and Distribution. Don't miss the opportunity to bring digital insurance products to life and discover what the process of product evolution.

Description: Almost half of recent FDA approvals have been for orphan drugs. This trend is expected to continue in 2023. Orphan drugs are priced more than 30 times higher than non-orphan drugs, therefore their cost burden in aggregate has the potential to overwhelm the budgets of payers, especially that of smaller health plans. Hear how the cost impact analysis for smaller health plans require different considerations than for a larger health plan when modeling the impact of rare diseases.

Description: Electronic health records (EHRs) are one of the fastest-growing digital health data categories, with over 90% of carriers using or evaluating EHRs for underwriting, according to a recent Munich Re survey. This session brings you up to speed on the current (and future) state of EHRs.

Description: "Risk adjustment is an important aspect of establishing appropriate capitation rates. When a set of services is carved out for specific management under a sub-capitation, establishing appropriate adjustments for varying levels of underlying risk is more complicated. Dive into analytical and operational challenges and resolutions as presenters share more about developing a risk adjustment model specific to the carve-out of behavioral health services through a real-life case study. You will further explore a definition of the use case, availability of historical data sets, selection of the modeling approach, learnings from the iterative modeling process, and the potential application of the results. After attending this session, you will be able to: Understand why a behavioral health specific-risk adjustment model has business value Understand the unique challenges related to developing risk adjustment on member and cost subsegments Understand the impact of trade-offs between model complexity and interpretability in the context of implementation Increase awareness of data nuances and requirements unique to this type of project Describe analytic techniques that can be investigated for use in projects of similar business objectives"

Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: Discover new LTC product designs and their capability of meeting consumer needs during the Challenging the Status Quo: Emerging LTC Product Designs webcast. This learning opportunity presents you with the existing hurdles of these designs, then discusses how to successfully overcome them. Our speakers will highlight the current LTC product landscape and innovative product designs. The potential opportunities and challenges of each product design will be covered as well. By utilizing strategies discussed in this webcast, market penetration can become an easier task.