Description: This Society of Actuaries Research Brief has been constructed to highlight some of the key features of the pandemic and contemplate the risks for the actuarial profession to consider in their work.

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: In the past months, as COVID-19 has forced the reduced activity in the U.S. economy there has been some very substantial, but varied effects on the U.S. healthcare system. There is a lot of potential for confusion amongst providers and patients with regards to decisions related to which services ought to be rendered and which ought to be deferred. Two specific agencies – the Centers for Medicare and Medicaid Services (CMS), and the American College of Surgeons (ACS) have put together some guidance to add more clarity towards what types of services should be provided and what types ought to be deferred. In addition, this paper includes a discussion on what types of services are most likely to be deferred, and which ones will accrue pent-up demand to be released when many of the deferred services become available again.

Description: The SOA released a report titled Massachusetts Health Insurance Reform, which looks at the impact on insurance markets, pricing and profitability.

Description: Health care cost trends are a key ingredient that health care actuaries use in their practice. In collaboration with the Health Care Cost Institute (HCCI), the Society of Actuaries has put together a data extract for practicing health actuaries to be able to better understand historical trends and cost disruptors.

Description: You will be reminded how to spot and avoid statistical biases and fallacies that are common to health care actuarial data and problems. We plan to explain various statistical biases and fallacies and for each show one or two examples of how they might pop up in healthcare data and what strategies can be used to avoid/account for them. Likely topics include simpson's paradox, regression to the mean, base rate fallacy, sampling bias, survivor bias, Berkson's fallacy, and others.

Description: Society of Actuaries Research Brief Impact of COVID-19, May 1, 2020

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

Description: Report Summary in Simplified Chinese.

Description: A diverse panel of health actuaries will be available to answer any attendee questions. 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!