Description: This article is an update on the No Surprises Act, which is a U.S. Act aimed to reduce the risk that a person unexpectedly receives out of network charges for their health care visits. This is Part 2; Part 1 was featured in Health Watch's Sept 2024 issue.

Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: Can you answer the question, 'What are the chances we will lose more than $1 million?' without saying, 'It depends'? If you miss a projection, can you estimate the chances that the miss was due to random variation versus an incorrect projection? Listen in as presenters demonstrate how to answer these questions and others using total risk analysis. Total risk analysis includes quantifying both the random variation risk and the projection risk associated with actuarial functions like pricing and reserving. After attending this session, you will be able to describe total risk analysis and to apply to many health actuarial functions.

Description: Come check out a diverse panel of health actuaries available to help guide you around the track for any question you may have. An ACA question - we have it covered! A valuation question - we will find a solution. A professionalism issue - we will make a ruling! A regulatory concern - we will help guide the way! No question is off limits! There are no stupid questions!

Description: The Society of Actuaries Research Institute developed a new study to explore pharmacy financing. The goals of the SOA related to this research are to identify opportunities to increase transparency, encourage competition, align stakeholder incentives and mitigate increases in total cost of care. The research uses a value-based methodology.

Description: The Part D program is funded through a variety of government subsidies and manufacturer discounts. The federal reinsurance, initially designed as protection from catastrophic spending, became a primary source of subsidies for the program. When the Inflation Reduction Act (IRA) is fully implemented in 2025, the funding of Part D will realign to its original intent.

Description: This Society of Actuaries, working with LIMRA, Oliver Wyman and the American Council of Life Insurers, is releasing a series of pulse surveys aimed at obtaining a quick read on how the COVID-19 pandemic is impacting insurance companies and reinsurers.

Description: A Brief covering the impact of COVID-19 on mental health.

Description: On March 6, 2023, The Wall Street Journal hosted its Health Forum, a hybrid all-day event. The virtual meeting featured 11 different events. This white paper focuses on those events. The sessions were informative and fast-paced, with each one providing a quick hit of relevant and cutting-edge information around health care.

Description: Risk adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles at a high level, their underlying methodologies and assumptions are also quite different. Due to recent events such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with risk adjustment program changes and understanding the commonalities and differences of these two government risk adjustment programs is important to our health actuaries. Compare these two risk adjustment programs so you can learn key elements of a risk adjustment program, similarities and differences in methodology and assumptions , as well as special considerations due to serving different populations.