Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: COVID has washed over healthcare like a tsunami—things have been tossed in all directions. According to Medicare actuaries, trends have been turned upside down in 2021, but will reverse back in 2023 as medical costs rebound. It is more prudent to base projections on long run trends for a period after the storm, extrapolating from 2026 forward, leaving the intervening turbulence (years 2022 -2025) mostly unspecified.

Description: This project explores various design and implementation details for the Spend Safely in Retirement Strategy (SSiRS).

Description: Chronic Kidney Disease (CKD) affects many lives and has a large impact on health systems around the world. To better understand and predict costs for insurance plan members with CKD in the United States, we built a new model of their individual costs. Our model is the first to explicitly model both the CKD stage transition process and the distribution of costs given those stages.

Description: This report has been written to provide a primer on the measurement known as R0 (pronounced “R-naught”), which is commonly used in epidemiology. The R0 metric has received extensive press coverage since the outbreak due to its importance in the measurement of the spread of COVID-19.

Description: The Canadian Institute of Actuaries and Society of Actuaries Committee on Life Insurance Research, the Product Development Section and the Financial Reporting Section, sponsored this study investigating how the Canadian life insurance industry is utilizing predictive modelling.

Description: This is a brief on a publication intended to serve as an in-depth primer on economic scenario generators.

Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report covering the extent to which investment sectors have been contagiously affected by major disasters.

Description: This research assesses the evolution of life insurers’ Actuarial Transformation efforts and the future outlook, with a focus on emerging Advanced Analytics techniques.