Description: This article discusses a study of the impact of the drug infliximab on Crohn's disease patients. This study had been approved in response to an SOA request for proposals for research on the health cost and utilization effects of a specific prescription drug.

Description: Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the impact big data and predictive modeling is having on the health care industry

Description: The coming wave of biosimilars could dramatically affect prescription drug costs and benefit strategies over the next several years. The launch of many Humira biosimilars in 2023 is the Big Event that will largely determine the impact of the biosimilar wave. Payers have many decisions to make about coverage and formulary tiers. What factors will drive payer decision-making?

Description: Separating incident and prevalent populations is useful, but the use of a cohort to make an RTM adjustment is unwarranted in the population-based pre- versus post-period design. From Financing Chronic Care Monograph, M-HB05-1.

Description: Presenters discuss the differences between patient treatment protocols and length-of-stay guidelines, and some of the issues that payers confronted as the protocols were implemented. From the Record of the Society of Actuaries, Vol. 24, No. 2.

Description: An actuarial model that provides financial incentives to providers to offer patients an approach that can reverse chronic disease and reduce health care costs

Description: This session discussion is about high cost claimants in medical benefit plans and how to control costs and anti-selection. From Record of the Society of Actuaries Vol. 15, No. 3B.

Description: This paper presents a different approach to measuring Health Expectancy, especially as it relates to the elderly population. This new actuarial approach is described and numerous examples are given.

Description: Most health care delivered in the United States is based on the acute care model: it is episodic has a beginning, middle and end usually the patient recovers and interventions are designed to target a specific pathophysiologic abnormality. Chronic disease care, in contrast, often has no clear beginning and no end the focus is on managing over the long term with prevention of progression and complications. Further, many chronic diseases “travel together” comorbidities: for example, diabetes, hypertension, coronary artery disease CAD, heart failure, cerebrovascular disease, peripheral arterial disease and renal dysfunction are often found together.

Description: Early in his career, Ehren Nagel, FSA, MAAA, scoured through podcasts and articles about predictive analytics, long suspecting this was a field with potential for him.