Description: CMS has pioneered innovative strategies for Medicare and Medicaid to address Social Determinants of Health (SDOH). Employers can learn from these models to implement similar approaches for their employee populations. Learn how employers can understand and address SDOH, the incentives for doing so, and the broader benefits.

Description: The Tri-Agency published the final rule on short-term limited duration insurance and fixed indemnity coverage at the beginning of April. We’ll break down the new rule, approaches to complying with the new requirements, and what implications it could have for the supplemental health market moving forward.

Description: Explore the dynamic intersection of health insurance data and diverse industries beyond traditional health insurance providers. This session will delve into how life science companies, pharmaceutical manufacturers, device manufacturers, and others leverage health insurance data to drive innovation and decision-making.

Description: This session will focus on the latest regulatory changes impacting commercial dental plans, including recent developments in Minimum Loss Ratio Requirements (MLR) and the potential inclusion of adult dental services as an Essential Health Benefit (EHB).

Description: Challenges of Provider Reimbursement

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: Explore the findings from the research paper recently released by Milliman and the SOA, highlighting the growing need for support of informal/family caregivers. We will discuss both quantitative and qualitative data that illustrates not only the cost and burgeoning need, but the mental/emotional stressors that come along with this work.

Description: The SOA is pleased to make available a research report providing insight and considerations for the actuarial profession in assessing the potential risk and opportunities of MACRA to both provider and payer organizations.

Description: Session Categories

Description: This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in the insurance industry and proposes various interpretable methods to enhance transparency and understanding.