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: A summary of the recent SOA Product Development Section webinar, Challenging the Status Quo: Emerging LTC Product Designs. Summarizes discussions on how the LTC industry can overcome existing hurdles and evolve to meet consumer needs.

Description: How adopting a risk champion model can help insurance companies, create a clear distinction between the first line and the second line of defense and ensure proactivity in identifying and addressing risk

Description: The direct and indirect effects of the pandemic have impacted many actuaries’ work since the spring of 2020. This article addresses three considerations actuaries should account for when using risk evaluation models which are focused on projecting remote, highly unlikely losses: model effectiveness, asset risk, and insurance (mortality and mortality) risk.

Description: Critical illness insurance is a popular supplemental health insurance product in the U.S. market. This article discusses how carriers have recently sought to add value by expanded the benefits offered in their critical illness products. Specifically, the article discusses the consumer need and development considerations of adding benefits for autism Spectrum Disorder, Mental health disorders, Specified Disease Coverage, and enhance Cancer Coverage to a critical illness contract.

Description: There is no silver bullet to improving retirement income outcomes for retirees. However, a combination of changes can be of significant value in addressing this overlooked issue. Although QLACs on the surface have potential value, they are not nearly as efficient as they could be. So far, employer plans have provided limited options for retirement income solutions. IRAs may not cost effectively serve the best interest of retirees. Employer plans should be encouraged to become retirement income providers and alternative approaches should be considered. The current prohibition on allowing plans to modify benefit payouts based on mortality experience should be reconsidered to allow for innovative plan income designs. Improvements to the deaccumulation stage of the retiree nest egg are challenging yet necessary.

Description: Python has become the fastest-growing major programming language in the world. It has surged in popularity over the last decade, following the development of its industry-leading capabilities in data science, machine learning and artificial intelligence, and it is now one of the most globally popular and widely used languages. In this article, I discuss some of the reasons for its popularity and explain why many actuaries and insurers have started using Python.

Description: This article identifies why insurance innovations take so much effort and digs deeper into the underlying causes. It shows and explains the importance of taking an efficient, tactical, and intentional approach when innovating to avoid over-building and over-investing.

Description: The summary and introduction of an SOA research paper that explores valuable insights and recommendations for insurance companies considering entering the market of commercial long-term care insurance (LTCI) in the Asia-Pacific, based on individual health status.

Description: This article provides an overview of activities that should be considered by an actuary when validating a predictive model. It describes several components to consider when validating a predictive model and provides an examination of various methodologies that can be implemented in the validation process.