Description: The paper describes a cost-benefit analysis to determine the value of electronic health records (EHRs) in life insurance accelerated underwriting programs. Sample cases from a carrier were underwritten pre-EHR and post-EHR and the mortality savings estimates from risk class changes using EHRs was compared to procurement costs. Results were developed to cover a range of scenarios. Factors to consider for carriers evaluating the cost-effectiveness of using EHRs in their own accelerated underwriting programs are also described.

Description: This article details different methods for calculating mortality impact associated with new underwriting programs. A common simplified calculation is compared and contrasted with two first principles approaches. The strengths and weaknesses of both approaches are discussed.

Description: The life insurance industry has experienced dramatic changes since the onset of COVID-19 in March 2020. Growing competition, a rise in online shopping, and the impact of COVID-19 have all led to an increase in contactless and completely digitized life insurance options. At Policygenius, we wanted to dig deeper into these big industry changes and better understand how they affect life insurance buyers. What our 2022 life insurance trend report found was a changing industry, making tremendous strides, and creating even better pricing and policy options for customers.

Description: This article highlights the findings of a recent SOA survey on accelerated underwriting (AU) practices, including the amount of AU business ceded, the results of three opinion questions, and an estimate of mortality slippage among AU programs.

Description: The Reinsurance Section, Product Development Section and the Committee on Life Insurance Research are pleased to present results from a company practice survey of individual life insurance accelerated underwriting. Performed by a Milliman team led by Al Klein and Karen Rudolph, the study provides perspectives from both direct life insurance companies and reinsurers. Among the areas addressed include the structure of accelerated underwriting programs, how programs are monitored, how accelerated underwritten business is performing relative to expectations and how companies are considering accelerated underwriting cohorts in the context of VM-20 assumption setting.

Description: In this interactive forum, presenters will share best practices to get the most out of your AU program. Explore trends in regulations, big data tools and predictive models. Case studies will be used to illustrate how monitoring results can provide actionable information for management to update programs and what it all means for accelerated underwriting programs. Attendees will come away with a better understanding of how tools are evolving, regulatory trends and best practices for explaining decisions to applicants, as well as targeted changes to accelerated underwriting programs

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: How do you develop an accelerated underwriting program? The Accelerated Underwriting Program Development Seminar held in Tampa, Florida on May 22, 2019 answers this question through a series of sessions across various disciplines, including underwriting, actuarial, project management, marketing and data science. This article outlines the key takeaways from each of the industry experts.

Description: In this article, we discuss the future of wearable technology in life insurance. Evidence from recent research shows that low levels of physical activity, as measured by steps per day indicate much higher mortality risk while higher levels of activity correspond with lower risk. The article shares insights of how insurers can use wearables to innovate by improving the customer journey, expanding insurability, engaging customers, promoting healthy lifestyles and improving risk assessment. Lastly, we discuss the challenges and considerations when using new data and technology to ensure success.