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

Description: This article compares three potential approaches to determining new coefficients for health-based risk scoring models: full recalibration, p-value credibility weighting, and penalized ridge regression.

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: This report presents the results of a study comparing health risk scoring models.

Description: One of the Health Section's key focuses in 2019 is Initiative 18/11. Last year the SOA joined forces with the Kaiser Family Foundation (KFF) and the Healthcare Financial Management Association (HFMA) to answer the nagging question: “What can we do about the cost of healthcare?” A steering group has been formed to lead a research project as to what managed care companies can do to reduce costs without sacrificing quality. The project [called Managed Care 3.0 in the 18/11 paper] will examine historical models that have worked as well as investigate the impact that new technologies and care models may have on cost and quality, with the goal of better understanding the current environment and identify­ing potential risks and opportunities.