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: 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: The Society of Actuaries (SOA) Research Institute’s Individual Annuity Experience Committee (IAEC) and LIMRA are soliciting surrender/lapse, withdrawal, living benefit utilization, annuitization, and premium deposit experience for fixed indexed annuities (FIAs) both with and without a guaranteed living benefit offering for contract year 2023 (from contract anniversaries in 2023 to contract anniversaries in 2024).

Description: This is a request for data contributions for a study on term conversion incidence and post-conversion mortality and lapse experience from 2009 to 2023. It outlines the purpose, scope, and process of the study, data submission requirements, study results, benefits to participants, and data access and ownership details.

Description: The Society of Actuaries Research Institute (SOA) and LIMRA are soliciting surrender and lapse experience for individual Term and Whole Life policies for calendar years 2015 through 2022 to be used to complete a 2015-2022 Term and Whole Life Lapse and Surrender Experience Study (Study).

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: 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: A summary of the SOA's participation in the NAIC 2025 summer meeting

Description: A news release about the Wildfire Morbidity report and Wildfire Mortality report being published.

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.