Description: The document is about the post-wildfire drinking water crisis and its implications for the insurance industry. It discusses the contamination of drinking water systems by wildfires, remediation strategies, financial considerations for the insurance industry, and potential contributions from the actuarial community.

Description: What are the recent trends in mortality? Should we expect different mortality experience in a post-COVID-19 world? Join us as we review the latest emerging trends in U.S. population mortality.by the end of this session, you will understand the impact of COVID-19 on future mortality experience. You will also have an awareness of other major causes of mortality and how they are trending.

Description: Hear about some applications using quantile regression-derived individual and group claim distributions and how they may be used in various traditional health care modeling situations. The session will not focus on the technical use of quantile regression to obtain estimates of claim distributions, but more so is intended to focus on the uses of the distributions in actuarial modeling and the additive framework in assessing claims distributions. Presenters will show how actuaries can better assess risks by focusing on the individual- and group-specific claims distributions as opposed to traditional point-estimate-centric models.

Description: CMS has required hospitals to publish their chargemaster rates, cash discounts and negotiated rates as of January 1, 2021. Our panel is comprised of a data strategist, an executive from a large hospital system and an actuary.

Description: One common barrier to employing GLM modeling is the lack of sufficient data. This limitation often comes from the combination of the considerations in ASOP No. 25 “Credibility Procedures” and the fact that GLMs assign full credibility to the data. Explore the possibilities of credibility-based regression by expanding the intended purpose of modeling analysis from producing a single model as output to producing data insights, credible differences, and a range of reasonable models.

Description: With mortality rates significantly higher in 2020 and 2021 due to the COVID-19 pandemic, actuaries that rely on historical experience cannot properly craft assumptions about the future due to the recent excess deaths. This webcast focuses on the practicality of using pandemic mortality experience, as well as how to overcome the practical challenges of that data implementation. Explore an overview of different approaches used by institutions in the U.S., Canada and UK and an observation of industry survey responses. There will also be a comparison to recent SOA expert opinion surveys and short term impacts on the future of U.S. mortality.

Description: In this session, we will explore recent industry-wide studies focusing on mortality and policyholder behavior patterns across both Life and LTC lines of business. The Life study analyzes extensive data collected over 2018-2022, providing a unique perspective on trends heading into, during, and emerging from the pandemic. The study covers 2.5 million deaths and over 5 million voluntary surrenders and fund lapses across term and permanent life products. The LTC analysis will focus on the components of policyholder termination, with an additional perspective of total termination patterns prior to, during and post-pandemic periods. The analysis will examine cohorts of policyholders to identify the area of largest deviations from expectation and how that translated into short term results as well as where we are today. The aggregation of experience across participating companies provides insights into areas where a particular insurer’s data is not credible on its own, including: older ages, preferred/standard classes and more. At the conclusion, attendees will have an understanding of how experience emerged and considerations for setting assumptions going forward.

Description: The United Kingdom makes public an impressive body of data about its population, its health system (the NHS), and the care which the NHS provides to the nation. This session will take the audience on a tour of many of these sets - with a focus on uncovering healthcare disparities. For context, a brief description of the NHS in England, population characteristics of England, and how social determinants of health (SDOH) are quantified will be given. With these as a background, we will explore data on chronic disease prevalence and incidence as well as physician performance against targets. We will present examples of health disparities from this data for certain conditions. Datasets of UK prescribing will be shown for further detail. The closing portion of this talk will present similar public domain US data - and how the UK body of information can assist in understanding health disparities in the US.

Description: Have you ever struggled to make business decisions because your internal mortality studies lack credibility? Have you ever launched a new product or initiative and wanted to understand mortality risk before claims experience emerged? This session will discuss how predictive models can help actuaries enhance their traditional mortality studies with leading mortality leading indicators to be more nimble to market demands.

Description: This session will introduce attendees to a variety of powerful tools in Excel designed for manipulating and analyzing large datasets, including seriatim data with millions of rows. Alternatively, the attendee with learn equivalent strategies using R. Both approaches can validate each other.