Description: While there are many approaches currently being taken to transform health care, to be successful, we know that leading and planning for quality improvement is a science. Data is the common denominator as healthcare organizations establish best-practices, and ultimately overcome unintended variation through strong analytic systems. Health care leaders require specialized data analysis education and training to hone their skills in understanding and managing clinical variation. The problem with unexplained variation in healthcare is that it negatively impacts clinical outcomes, increases the cost of care, and diminishes value for patients. In this session, Dr. Ted James (BIDMC and Harvard Medical School Faculty) will explain how actuaries can offer practical solutions that provide insights into variations in clinical practice that cannot be explained by differences in medical conditions or patient preferences.

Description: This paper presents recent trends in obesity prevalence in significant population segments, including overall effects by age, gender and certain racial and ethnic groups, and discusses the ways in which obesity can influence mortality in each of these segments. It provides a synthesis of reported mortality experience relating to these behaviors by risk factors and diseases that will affect any mortality projection.

Description: This paper presents recent trends in obesity prevalence in significant population segments, including overall effects by age, gender and certain racial and ethnic groups, and discusses the ways in which obesity can influence mortality in each of these segments. It provides a synthesis of reported mortality experience relating to these behaviors by risk factors and diseases that will affect any mortality projection.

Description: One of the first projects undertaken by Claim Analytics was to create a model to predict return to work for group insurance claimants with long term disabilities. This report, sponsored in part by the Society of Actuaries Health Section , is a case study on creating such a model.

Description: This session discusses disease management [DM] and the role of health actuaries versus economists and biostatisticians. Topics discussed include economics of DM, epidemiology strategies, and operational concerns. From the Record of the Society of Actuaries, Volume 29, No. 2, Session 21pd.