Description: This article attempts to make a modest contribution to the dialogue on the potential and risks associated with novel treatments such as cell & gene therapies. With a fast-expanding roster of what are believed to be one-time treatments at ever increasing price points aimed at curing a wider swatch of the population, they are as much a source of relief for patients stuck in medical limbo, as they are a source of anxiety for payers.

Description: State Medicaid agencies have been implementing value-based payment (VBP) models for the last decade and are increasingly exploring advanced population-based payment (PBP) models that increase flexibility, predictability, and accountability for participating provider organizations. PBP models show promise in advancing Medicaid priorities, but are still in the early stages of development, and model design and implementation challenges remain. This article from the Center for Health Care Strategies explores the fundamentals of VBP and how PBP - a particular type of payment model - can help Medicaid agencies achieve goals related to care transformation and quality improvement, revenue stability, and controlling cost of care.

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: 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: Actuarial Perspectives on COVID-19: June 10 Twitter Chat with the Society of Actuaries

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.