Description: In recent years, Artificial Intelligence (AI) has taken an increasingly prominent role as a potential tool for improving processes from standard internet searches to its use in improving actuarial modeling through machine learning and other applications. The use of AI models and machine learning could lead additional and ongoing improvement of predictive capabilities in health care reserves resulting in potentially more accurate reserve estimates, financial statements and decreases in model variance.

Description: This report provides actuaries and other professionals working with risk, data and analytics or program evaluation in the health care space with considerations and frameworks related to the use of determinants of health (DOH) in data and actuarial work streams. Such frameworks can leverage new data sources to enrich health care data analysis to move beyond traditional data elements, such as age, gender, zip code or health diagnosis.

Description: In today's growing supplemental health space, innovative benefit offerings are essential for both marketability and market competition. Discuss the latest trends in accident, critical illness, and hospital indemnity plan design, as well as the regulatory hurdles that can be involved when implementing these new benefits.

Description: CMS launched the value-based insurance design (VBID) model in 2017, allowing health plans to offer innovative supplemental benefits and incentives to beneficiaries to use high-value services specific to their health care needs or socioeconomic position. CMS's stated goal is to encourage health plans to implement strategies that focus on health equity. The model has evolved over time and has grown tremendously in popularity over the years since it was introduced.

Description: This report illustrates employer group commercial health care costs and trends from 2013 – 2017.

Description: The Living to 100 monograph is composed of the papers, essays, panel discussions, teaching and keynote sessions presented at the symposium.

Description: The Society of Actuaries (“SOA”) Research Institute is the research arm of the SOA, providing objective, data-driven research that brings together tried and true practices and future-focused approaches to address societal challenges and business needs. The Institute provides trusted knowledge, extensive experience and new technologies to help effectively identify, predict and manage risks.

Description: This session is designed to inform you about the current state of mental health and mental health care in the United States, as well as future trajectories. By exploring topics such as plan design, provider network, provider reimbursement, and other relevant channels, this session aims to enlighten everyone on existing challenges and the strategies being employed to tackle them. Notably, this will include and highlight proposed changes to the mental health parity. Additionally, attendees will hear from a mental health provider/academic on these topics to gain a non-actuarial perspective.