Description: Chapter 3 analyzes, in table form, the study's claimant counts and charge totals, broken down by plan design type, gender, age, year, and by subscriber vs. dependent. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 7 analyzes, in table form, the study's claimant counts & charges per claimant in relation to deductible and broken down by diagnosis category. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 8 analyzes, in table form, exposure in relation to status, gender, age range, and deductible level. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.

Description: The presenters will highlight differences in mortality that result from socioeconomic issues. Topics will include the differences in cause-specific mortality among different socioeconomic classes, trends in these gaps over time, and recommendations for reducing inequalities in life expectancy in the future.

Description: The session offers high-level initial steps to get started using R, as well as a list of helpful resources for both general data science and actuarial science with R. Attendees will learn about popular R packages to perform practical tasks such as importing, transforming and visualizing data, as well as packages commonly used by actuaries. You will also be introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of the session, you will be familiar enough with using R and RStudio to begin incorporating these tools in your day-to-day work as an actuary

Description: The Committee on Life Insurance Company Expenses is currently seeking life insurance company data submissions to the 2009 Individual Life and Annuity Expense Study. This is a separate workbook that has been created for Life and Annuity business.

Description: This is the SOA 1991 large claims database. Please see the SOA website experience studies for group health for further information about the specifications for this database. The Committee on Health Benefit Systems Research is pleased to announce the availability of the 1991-92 Group Medical Insurance Large Claims Database. The database includes more than 171,000 claims of $25,000 or more, representing over $10 billion in total charges. Fields include diagnosis 3digit ICD-9 code, type of coverage HMO, PPO, Indemnity, etc., claimant status employee or dependent, and charges split into hospital and non-hospital, in addition to claimant age and gender.

Description: The insurance industry hinges on accurate actuarial assumptions. This session explores how insurers can leverage AI/machine learning (ML) to unlock greater accuracy and granularity in assumption setting, while effectively managing risks, implementing strong governance frameworks, and meeting validation expectations from regulators.

Description: This report presents Phase 2 of the 2024 IDEC Study, analyzing individual disability income (IDI) claim recovery and mortality rates from 2006-2014. It expands Phase 1's scope—previously limited to 90-day elimination and To Age 65-70 benefit periods—to include additional elimination and benefit periods, examining variations by diagnosis, occupation class, claim year, and gender.