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: View the following report regarding Risk Scoring in Health Insurance: A Primer.

Description: Table from an article in The Actuary Magazine on an analysis of risk management terminology: your guide to speaking ERM with different industries. Volume 4, Issue 6

Description: Supplemental Appendices for Using Social Determinants to Identify Profiles of U.S. Children with Low Dental Expenditures and High Medical Expenditures with Clusters

Description: Panelists discuss recent developments that may impact health care costs over the next few years, such as: · Trends in research and treatment for various diseases · Advances in diagnoses, therapies, and medications · Various clinical trials From the Record of the Society of Actuaries, Volume 27, No. 1, Session 73

Description: Ignite-style presentations feature presenters who get 20 slides, which automatically advance every 15 seconds. The result is a fast and fun presentation which lasts just five minutes.The first portion of this session will feature public health experts doing Ignite-style presentations on various public health topics. Then stick around for the second portion when all of the presenters will take part in a moderated, talk-show-style discussion. You'll get a chance to ask your questions and dig deeper into the topics you just heard about. Be prepared for a fast-paced, thought-provoking session that you'll remember long after it ends!

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: This abstract describes a presentation in which the use of the propensity score in health care studies can minimize biases stemming from non-random treatment assignment and lead to appropriate conclusions on the effect of the intervention.

Description: Table from an article in The Actuary Magazine on an analysis of risk management terminology: your guide to speaking ERM with different industries. Volumn 4, Issue 6

Description: Supplemental Appendices for Using Social Determinants to Identify Profiles of U.S. Children with Low Dental Expenditures and High Medical Expenditures with Clusters