Description: In late 2021, U.S. Congress passed the Consolidated Appropriations Act (CCA), which requires group health plans and health insurers to submit information regarding the costs of prescription drug costs and other health care services each year to the federal government. Learn how this data can be useful to anyone responsible for forecasting and budgeting.

Description: An analysis of US population mortality trends and the impact of COVID.

Description: Mortality improvement rates for AG38 for 2017.

Description: CPT, NCCI, ICD, CCI, DRG, APC, PTP – understanding healthcare claims involve a dizzying array of code sets and payment methodologies, and yet the claim form is the intersection of health plan affordability, provider payment, and data analysis. This webcast will cover: • The code sets used in medical coding • Types of correct coding policies implemented by CMS and commercial payers • Payment integrity strategies to drive health plan affordability • Data analytics approaches leveraging medical coding knowledge

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: This article provides an overview of critical illness insurance: history, product description, and the three primary ways to offer critical illness coverage in the United States. This article also contains an illustration of an issue age premium rate calculation, as well as product features and rating applications specific to the various types of critical illness coverage.

Description: Hear about modernized reporting capabilities and technical analysis, which is enabled through access to deep actuarial and financial planning data. The webcast will focus on a real post-Long Duration Targeted Improvements (LDTI) source of earnings analysis and on a high-level LDTI forecasting capability.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: With the mandated health plan transparency files, health plans and providers are now able to substantially enhance their provider contracting efforts. Although the files are large and cumbersome they are market disruptors and provide new insights for provider contracting efforts. Explore a demonstration on the type of information now available and how it can be used to enhance this from both a health plan and health care provider perspective.