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: There is some reason to believe that the trend of life companies entering the A & S business will continue. Both the public and the government are becoming increasingly aware of the need and desirability for the widest possible coverage against the loss of income because of disability and against the cost of medical care. This should lead to an expansion of the market for A & S insurance which should attract still other companies to the field in the future. Followed by several discussion papers submitted

Description: On March 22, 2022, the Wall Street Journal hosted its annual Health Forum, a virtual all-day event which included several sessions. This session was attended by experts across the healthcare space and attendees included many from the healthcare technology companies. This report summarizes the event.

Description: The report looks at the different outcomes for the 50 states from the ACA, in terms of cost and availability of health insurance coverage. It identifies 11 key observations since the passage of the ACA.

Description: Max Rudolph's winning essay.

Description: Health care cost trends are a key ingredient that health care actuaries use in their practice. In collaboration with the Health Care Cost Institute (HCCI), the Society of Actuaries has put together a data extract for practicing health actuaries to be able to better understand historical trends and cost disruptors.

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: Healthcare costs have been rising faster than general inflation for many years. Early models that predicted this past pattern projected healthcare expenditure growth that continued to outpace total expenditure growth leading to the fallacious position that the whole of the US economy would ultimately be consumed by healthcare. The Society of Actuaries' Pension Section and Health Section Research teams commissioned Professor Thomas E. Getzen of Temple University to construct a resource model for the projection of long term healthcare cost trends that includes capacity constraints to ensure the long-term projection is rational. The motivation for creation of the model was driven by its potential usage as a resource for the estimation of reportable liabilities for retiree healthcare benefits as specified under FAS 106 and GASB 45 accounting statements. This is a zip file containing the following: 1. A background paper on the creation of the health trend model, 2. The model, programmed in Microsoft Excel [xls format], that projects per-person expenditures and growth rates through 2099 using baseline assumptions, but also permits the flexibility for user–inputted alternative assumptions, and 3. Technical documentation providing transparency and support for the ultimate results.

Description: In health insurance marketplaces, prospective insured individuals and groups are able to choose from a range of available plans. This study uses health care encounter data to simulate the choices faced by health insurance shoppers under a variety of conditions and measures the simulated effect of increased consumer choice and consumer information on medical loss ratios and, as a consequence, insurer profitability.

Description: A study of whether tobacco, area and industry rating in one state may be reflecting unintended factors such as race, ethnicity or socioeconomic status. This study does not consider whether the rating factors accurately reflect underlying claims costs.