Description: Review of a research project, co-sponsored by the SOA, which examined 83 organizations and over 150 programs that measure the quality and efficiency of hospitals and physicians.

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: Many executives are talking about predictive analytics uses in health insurance.

Description: Introduction to population health, a collaborative discipline that seeks to leverage all the determinants of health personal behaviors, medical care and the public health infrastructure, as well as the social and economic context at the community and national level to maximize the health of populations.

Description: Overview on current trends in medical practice impacting the LTC insurance business with a focus on dementia, risk stratification, and predictive modeling.

Description: A closer look at family tier factor rating assumptions, and how well they reflect actual claim cost data.

Description: Profile of an actuary in a non-traditional actuarial role: focusing on medical cost and analysis, both retrospective and prospective.

Description: Actuaries have the opportunity to transform to a new role that utilizes predictive analytics and new data sources such as epigenetics, to better humankind.

Description: An analysis of health insurance cost and benefit trends using January 1, 2011 data from state employee medical plan renewals.