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

Description: This article introduces a research report that studied the relationship of nontraditional variables with health costs.

Description: The purpose of this study is to evaluate the predictive accuracy of the commercially available claims-based risk assessment tools under different sets of conditions and with different sets of available information.

Description: Recognizing the importance of fortifying risk adjustment programs against selection based on nontraditional variables, the Society of Actuaries’ Health Section sponsored an in-depth study into the relationship of nontraditional variables with health costs. This report presents the results of this study.

Description: Full version of Health Watch News, Issue No. 56, September 2007.

Description: Recognizing the importance of fortifying risk adjustment programs against selection based on nontraditional variables, the Society of Actuaries’ Health Section sponsored an in-depth study into the relationship of nontraditional variables with health costs. This report presents the results of this study.

Description: This report aims to expand our understanding by providing a methodology to quantify uncertainty in risk assessment.

Description: This article discusses the use of parametric distributions to model health care cost.

Description: This article is intended to present a high-level review of a recently concluded research project (Mehmud & Yi, 2012) with the same title.

Description: This article, an Honorable Mention Essay for the Society of Actuaries' Entrepreneurial Actuaries Section 2010 Papers Competition, is a discussion of the various issues relating to measurement of data in healthcare. The author presents “a light hearted & tongue-in-cheek take on how healthcare is typically measured, and an entrepreneurial vision for a better world.” Noting that typically data is summarized in deterministic models that produce point estimates for analysis and decision making, the author’s vision presented in the paper “is that of a central repository of actuarially modeled distributions that can either be used as benchmarks or adapted to an organization's experience.”