Description: Comparison of domestic and international PFML programs

Description: This introduction to Captive Insurance Companies will provide an overview that includes the history of captives, different types of captives, common applications, how captives work, why employers form or join a captive, and a Medical Stop Loss Group Captive case study.

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.

Description: Session 1B: Navigating the Future Pharmacy Pricing Trends for Actuaries

Description: This is a book review of 'What Healthy People Know by Dr. Bob Gleeson, a book focusing on the seven things that healthy people do to say healthy and live long. The reviewer relates these activities to the actuarial career.

Description: The Health Care Cost Institute (HCCI) recently released their annual health care cost and utilization report on February 13, 2020. This report illustrates employer group commercial health care costs and trends from 2014 – 2018.

Description: Society of Actuaries Research Brief Impact of COVID-19, May 15, 2020

Description: This report provides highlights of a weekly survey of practices regarding the mitigation of the spread of COVID-19 in the U.S. during the second half of February 2021 along with comparisons to prior half-month time periods. The survey asks about the degree to which the respondents perceive that people in their community are following 21 common mitigation practices. The responses are separated by state and compared to state level statistics regarding the level of COVID-19 infections from the Johns Hopkins COVID database for the same time period.

Description: This report provides highlights of a weekly survey of practices regarding the mitigation of the spread of COVID-19 in the U.S. during the last half of April 2021 along with comparisons to prior half-month time periods.

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.