Description: Model design is an important part of being an actuary, and the SOA highlights the importance of the actuarial control cycle of model design, evaluation and monitoring. What tools are at our disposal for these steps? When should we be concerned or excited about model performance? Can we, and should we, use machine learning tools to assist with model improvement or development?

Description: This report examines lapse experience on individual disability income insurance products by various policyholder and product factors. The study can be used for industry benchmarking as well as for background information for product development and planning purposes.

Description: Report to give actuaries practical information and guidance on LTD claim credibility for case level pricing and underwriting. Stage 2 of the GLTD Credibility Study, this analysis was expanded using the industry data gathered during Stage 1.

Description: Risk Adjustment continues to be a hot topic in Health Insurance since its emergence. This mechanism came into being as a means of reducing the risk of selection, particularly in marketplaces where underwriting is not allowed, and rating factors are significantly restricted. Risk adjustment serves to adjust premiums to reflect the risk of individual members or overall members as a whole within a particular cohort of a health plan. Risk adjustment is not perfect, as it does not perfectly predict future costs or perfectly adjust for the differences in expected costs. Different marketplaces have different challenges with risk adjustment.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: The momentum in value-based care has produced an opportunity for actuaries to become pioneers in health care

Description: Health equity is taking a front row focus in many health arenas. Take a closer look at some of the efforts being used to ensure health equity. One area of interest to actuaries is value-based insurance designs (VBID). VBID can be incorporated into exchange plans. These innovations to prevent and treat disease have led to reductions in morbidity and mortality. Learn techniques to improve the quality of care and reduce barriers to high-value care in the form of high-cost sharing.

Description: As actuaries in health care, we spend most of our time focused on reviewing claims, enrollment and clinical data. That information is captured while patients are in health care facilities. Yet most people spend only a small fraction of their time in these facilities. This article explores what types of data are available to actuaries the provide a more holistic view of the member so that a members physical and emotional needs, the social determinants of health can be taken into consideration along with their clinical needs. Two uses cases are presented so actuaries can see how these types of analyses can be leveraged to improve clinical, operational, and financial performance of risk bearing health entities. Understanding the customer (member) not just the patient enables actuaries to provide new insights and values to our stakeholders across a wide range of business and risk applications.

Description: Actuaries team up with Payers and Providers, to share insight into their data-driven approaches for improving health plans' CMS Medicare Star Ratings, which leverage experiential analytics to create solutions. 'Experience' is the king-it is broader umbrella, which includes and addresses engagement, cultural competency, equity, cost, and lastly, 'quality'. By attending this session, you will be better equipped to turn real-life data into actionable business solutions-essentially, data science in action. Further, you will better appreciate the importance of stars and risk adjustment in the Medicare Advantage space, along with the consequences of coming up short.