Description: "Direct medical costs for cancer care topped $209 billion nationally in 2020, accounting for a significant proportion of all health care expenditures in the U.S. Indirect costs are also significant, encompassing loss of productivity, wages, leisure time and decreased quality of life. The way cancer programs deliver and are reimbursed for care is rapidly changing. As the cost of cancer care continues to rise, several new value-based care programs - both public and private - have attempted to curb these rising costs. Learn about the current landscape of VBC oncology programs, several key challenges and opportunities with oncology analytics, as well as anticipated evolution of cancer care in the near future. Topics include: Current VBC oncology landscape, including a more detailed discussion on CMS' latest oncology program, Enhancing Oncology Model (EOM) Discussion on current challenges and opportunities with oncology analytics, including some advanced methodologies that have been developed based on documented clinical pathways to better understand cost drivers Future state of oncology care including emerging pharmaceuticals and novel therapies, personalized care regimens, and other clinical innovations"

Description: In late 2021, U.S. Congress passed the Consolidated Appropriations Act (CCA), which requires group health plans and health insurers to submit information regarding the costs of prescription drug costs and other health care services each year to the federal government. Learn how this data can be useful to anyone responsible for forecasting and budgeting.

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

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.