Description: Discuss various analytics and use cases using payer published reimbursement contract data under federal mandate of Transparency in Coverage. These contract rates are publicly available in machine readable format (MRF) starting July 1, 2022, and refreshed monthly. By attending the session, you will have a better understanding of the state-of-art development and analytics using MRF data, including the technologies used to extract and analyze huge MRF files, validation and limitations of published rates, and their use cases.

Description: "Discuss research conducted at the Cleveland Clinic to understand levels of anxiety and depression across Northeast Ohio. Specifically, learn how advanced analytical techniques were utilized with social media data from Twitter and Google to estimate the need for psychological support by geography and overtime. The panel will go further to demonstrate how natural language processing (NLP) and machine learning could be used to make operational decisions at a leading health care provider."

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: The Inflation Reduction Act represents the most significant changes to the Part D program since its inception 20 years ago. The implications will not only alter the benefits offered by Medicare Advantage (MAPD) and Prescription Drug Plans (PDP) but will alter the Part D cash flows and the seasonality of such amounts for interim reporting periods. In this session, we will provide a brief overview of the IRA changes and dive into how the changes could impact the 2008 Medicare Part D Accounting Practice Note.

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: Disability and group life products can pose challenges for the valuation actuary due to the long-tail runout of traditional disability and group life waiver of premium claims, and due to the sensitivity of the reserves to small changes in assumptions. This session addresses a number of issues of interest to actuaries who work with these products, including recent experience trends and the new 2023 Group Life Waiver Valuation Table. Attendees will learn about best practices in the valuation of these products.

Description: Session 1D: Meeting the Mark - Predicting MA Stars Outcomes with Monte Carlo Simulations

Description: Disability and group life products can pose challenges for the valuation actuary due to the long-tail runout of traditional disability and group life waiver of premium claims, and due to the sensitivity of the reserves to small changes in assumptions. This session addresses a number of issues of interest to actuaries who work with these products, including recent experience trends and the new 2023 Group Life Waiver Valuation Table. Attendees will learn about best practices in the valuation of these products.

Description: Health equity is taking a front row focus in many health arenas. Take a closer look at some of the efforts being used to ensure health equity. One area of interest to actuaries is value-based insurance designs (VBID). VBID can be incorporated into exchange plans. These innovations to prevent and treat disease have led to reductions in morbidity and mortality. Learn techniques to improve the quality of care and reduce barriers to high-value care in the form of high-cost sharing.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.