Description: Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the impact big data and predictive modeling is having on the health care industry

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

Description: Article examines a proposed amendment to the MAP-21 Act that would have changed a number of tax requirements regarding so-called life settlements.

Description: A discussion about regulators, lawmakers, actuaries and insurers working together to keep health insurance costs affordable to the consumer but also profitable enough for insurers to continue to offer the product.

Description: The article offers a more nuanced approach to caregiving as the population ages, suggesting our current focus on planning leaves out most people. Instead find solutions for non-planners!

Description: The presenters will discuss predictive analytics as applied to recent group life and disability experience studies and other applications.

Description: The presenters will focus on best practices in drug claim management in North America. The presentation is geared toward Canadian practice and insights, but is useful for practitioners in the U.S. and elsewhere, as well.

Description: As value-based solutions evolve, it is more important than ever for providers to understand their performance and how it is measured, along with the drivers of success. Presenters will cover the evolution of past risk-transfer programs such as Medicare Shared Savings Program and Next Generation ACO. They will also discuss the new Primary Care First and Direct Contracting models recently announced by CMS.

Description: In this session, the presenters will discuss (1) results from a recent study of credibility applications in the pricing of group long term disability business, (2) morbidity experience from individual disability business, and (3) lessons can be learned from each line of business.

Description: In this paper we propose a model that can be used to analyze correlated claims data. In the process we introduce a class of multivariate generalized Poisson distributions. Then we present posterior distributions of its parameters. These distributions are difficult to manipulate, so we employ Markov chain Monte Carlo methods to draw random numbers from posteriors and predictive distributions. We present a collection of EXCEL VBA functions and subroutines to perform the simulations.