Description: Hear about some applications using quantile regression-derived individual and group claim distributions and how they may be used in various traditional health care modeling situations. The session will not focus on the technical use of quantile regression to obtain estimates of claim distributions, but more so is intended to focus on the uses of the distributions in actuarial modeling and the additive framework in assessing claims distributions. Presenters will show how actuaries can better assess risks by focusing on the individual- and group-specific claims distributions as opposed to traditional point-estimate-centric models.

Description: This session discussion is health databases, outcomes research, treatment protocol development, ambulatory utilization, SOA Experience Committee activities, and responding to employer demands for data. From Record of Society of Actuaries Vol. 19, No. 1B.

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: An announcement of the roster of the newly reconvened Health Section Research Committee, and an invitation to propose, participate in, and read about the committee's projects. informal RFP to solicit research project ideas, invitationto join project oversight groups and

Description: Because data quality is critical in the measurement of an event as rare as the death of a supercentenarian, special care must be used. We will discuss practical methods of validation used by researchers in the field, alternate methodologies and data cleaning procedures to ensure validity of mortality data as extreme old age. We will also explore some of the consequences of inadequate data preparations on the curve of mortality at the end of life.

Description: Chapter 2 analyzes, in table form, the study's claimant counts and charge totals, broken down by gender, age, diagnosis category, year, and by subscriber vs. dependent status. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 5 analyzes, in table form, the study's claimant counts & charges per claimant in relation to deductible and broken down by plan design type. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: The SOA Research Institute Aging and Retirement Strategic Research Program and the Long-Term Care Insurance Section are pleased to make available a research report analyzing the need for informal caregiving and its impacts on employees, employers, and other stakeholders.

Description: SARS-CoV2 will impact our post-pandemic future. Morbidity more than mortality will impact the life and health business in the mid-term. But how does this temporary disruption in health care elicit long-tail implications on other common diseases and changes in lifestyles? Find out how mid-term pricing could be affected using one case scenario and also show how mental health will particularly shape the post-pandemic future (individually and societal), not only due to long COVID. Review the experience of the insured policies and discuss future ideas for COVID-19 research at the Society of Actuaries Research Institute. Consider recent causes of death studies, as well as reported claims analyses to help expedite the analysis of recent experience. Join us where experts from both the medical and actuarial disciplines join forces to discuss this important topic.