Description: Milliman was engaged by the SOA to conduct two Accelerated Underwriting (AU) surveys, one of direct companies and another of reinsurers. The surveys explored actual results from 2019–2021 and expected results from 2022.

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 discusses the importance, measurement and improvement of product development efficiency.

Description: Technology now supports customized non-level death benefits which help consumers optimize their coverage and cost. Creating individual policies and individually pricing them for a level premium quote is the start of personalizing and optimizing coverage and cost for consumers and pricing life insurance policies at the individual consumer level --- a revolution for actuaries.

Description: Chairperson’s column discussing the current challenges of life insurance product development in the present times.

Description: Part 2 of the article continues providing data on why IUL income streams need to be managed and suggests techniques that insurance companies could provide to policyholders and advisors to do so. The author also offers his research data free of charge to any actuary who contacts him to request it.

Description: Understanding the volatility associated with audit samples, as well as breaking out the different contributors to estimated mortality impact are vital tools in helping actuaries and underwriters make informed decisions about less invasive underwriting programs. This article walks through a sample example demonstrating how to calculate these metrics.

Description: Future mortality improvement has been a common assumption in life insurance and annuity pricing and forecasting for many years. However, experience over the last decade suggests this might be an assumption that merits reconsideration in the United States. This article will take a closer look at factors that impact mortality improvement trends and discuss why insurers may want to reevaluate product designs to better manage the associated mortality risk. We then introduce a product idea with this in mind, where premiums are based on a life expectancy index and insurers share the risk (and opportunity) or mortality improvement with policyholders.