Description: This session, from the June 2000 San Diego meeting of the Society of Actuaries, discussed ways the actuary can help the underwriter. Discussion included: 1. Overview of protective value theory 2.Simplified cost/benefit methods designing efficient underwriting rules.

Description: New digital data known as alternative data is everywhere. Our industry has seen the financial, and hi-tech industries leverage new digital data to expand their key offerings and core services. From the lens of the global life and health industry, new digital data is still searching to be further understood. Risk assessment is a current focus area for using alternative data. A key question is even though risk assessment has always been data-driven, can it now move to the next level with the arrival of this alternative data. Can we use alternative data to make the risk assessment process quicker, cheaper, or faster thereby driving more sales and better conversion rates. It is an exciting time! With the increased adoption of health and well-being apps, data such as physical activity, nutrition, sleep, and mental wellness is now readily available. Expanded data such as digital biomarkers, IoT data, electronic health records and many more can also be accessed. However, how to effectively implement alternative data remains a challenge across the industry. We firmly believe it is, and will continue to be, imperative to take a structured approach to alternative data through a set of key considerations and a framework of principles.

Description: This report documents the work of the UCT with respect to development of an algorithm used to score preferred risk class structures, producing Relative Risk Scores and Prevalences. It is built for both knockout and debit-credit scoring methodologies.

Description: Analysis of Alzheimer’s Disease as a potential Critical Illness insurance benefit trigger.

Description: 1993 SOA Spring Meeting, Boston. This session is about underwriting, including new testing techniques, AIDS update, preferred risk selection, and current topics of interest.

Description: In the wake of the pandemic, much of the insurance industry is now endeavoring to find sustainable, longer-term solutions among many forced innovations – and to ensure that temporary adaptations add value beyond mere change.

Description: Big data and predictive models have disrupted the life insurance new business and underwriting processes over the past few years. How did we get here? What does the future hold? This session will review the lessons learned from the evolutionary process and discuss what the potential next steps are in this journey. Are real time fully underwritten decisions an achievable goal?

Description: These assumption tables provide the range and cumulative values used in the Relative Risk Tool in the calculation of Relative Risk scores and Prevalence values.

Description: This is a report on Phase 2 of a research project on the role of automated systems in life insurance underwriting. This paper discusses: 1. How and why companies are using automation to make underwriting decisions. 2. Its impact upon operational efficiency, sales, and retention. 3. The quality of risk selection produced by automated systems. 4. Cultural acceptance of increased automation in underwriting. 5. Challenges insurers must overcome to implement and maintain automated underwriting.

Description: The current coronavirus pandemic has caused a number of challenges for life insurers and this article summarizes the operational challenges, namely in two areas. First, the article will discuss the challenges companies are facing to collect traditional underwriting evidence and potential short-term solutions used to overcome these limitations. Second, the actions companies are taking to alleviate the financial difficulties customers may have paying premiums will be addressed.