Description: Presented at April 1986 Spring Meeting. This session discussion is about what analysis is effective in measuring recent medical care experience and are the projected cost-containment savings presented to plan sponsors being realized.

Description: This paper outlines a framework for assisting a STARS manager in implementing a quantitative approach to prioritize stars measures for targeted intervention

Description: Presented at April 1985 Spring Meeting. This session focused on recent experience of programs designed to contain health care costs.

Description: This is the inventory part of the report from the research project that reviewed and inventoried the range of quality and efficiency measures currently available for healthcare. The goal was to outline key areas of quality and efficiency measurement and identify future opportunities for actuaries. The inventory lists the resources and provides brief descriptions of their services with links.

Description: Research report sponsored by SOA to model and compare projected costs of different proposals for a Medicare prescription drug coverage plan. 3 types of costs are studied: net benefit cost estimates per member per month, continuance table data, and projected annual costs to the government over 10 years for two selected plan designs.

Description: This article reviews underwriting and why it has remained unchanged for 50 years. The unhealthy lifestyles of Americans are examined. From Health Watch Newsletter, May 2006, Issue No. 52.

Description: Using Healthcare Claims Data to Create Actuarial Models.

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: A discussion of permissible use and collection of genetic information for Health Risk Assessments and wellness programs under the Genetic Information Nondiscrimination Act of 2008.

Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.