Description: NAIC Health Update. Issue No. 44.

Description: This article discusses the causes of the 1918 influenza pandemic, the reasons it occurred and the likelihood that it could happen again. In addition, the author discussed ways, in general, to model and manage risks that occur infrequently, yet have a significant impact.

Description: This is Appendix B to the research report measuring the annual frequency of medical errors in the United States and the total measurable cost to the United States economy of these errors. See the SOA web site research section for the full report.

Description: An update of selected key graphs from the Key Statistics section of previous COVID-19 briefs.

Description: COVID has washed over healthcare like a tsunami—things have been tossed in all directions. According to Medicare actuaries, trends have been turned upside down in 2021, but will reverse back in 2023 as medical costs rebound. It is more prudent to base projections on long run trends for a period after the storm, extrapolating from 2026 forward, leaving the intervening turbulence (years 2022 -2025) mostly unspecified.

Description: This article gives an overview of the worksite marketing/volutary products market and addresses the pros and cons of this marketing approach.

Description: This corner serves to update the membership of some of the section’s milestones for this year, set the trajectory for 2009, and thank the many dedicated individuals and teams who made it happen. Issue No. 59

Description: The Society of Actuaries (SOA) Research Institute revisits COVID-19's impact on future U.S. mortality with insights from a multidisciplinary panel of experts. Discover how new variants and other causes of death may influence future mortality trends.

Description: The Society of Actuaries SoA developed this research project to repeat and expand upon its “Group Medical Insurance Large Claims Database Collection and Analysis” study, which was published as a monograph in August of 1997. The general purpose of these studies is to discover and analyze factors affecting claim incidence rates and the distribution of claim sizes. This is the report for the database. Please see the SOA website experience studies for Group Health for the databases themselves.

Description: This abstract describes a paper that describes two predictive models for hospital readmission rates using patient level data with specific patient information.