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: 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: 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: Critical factors to consider as we age include where we live, who we interact with, how we get the help and support we need when we need it, and how our health care is organized and delivered. Underlying this is how we finance the cost of specialized housing, care and support. Some communities are age-friendly where we can obtain supportive services, others are not. Some people choose to live in senior housing which integrates support services, others choose to live in the community among people of all ages. Some health care systems are well designed to meet the needs of older people, others are not. The cost of living for older adults, considering all of these factors, varies by community. Explore more about the perspective of older adults, how communities have structured to meet their needs, and how society as a whole is becoming aware of and addressing a growing aging population.

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: Panelists from the home-based care industry will discuss the latest technology and services that enable and prolong the receipt of formal and informal care at home for the elderly and delay transitions to care facilities.

Description: General Session VI

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).