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.

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: The rapid economic development of Asia has ushered in profound lifestyle changes, particularly in urban centers. Increased disposable income, urbanization, and the proliferation of convenient food services have contributed to dietary habits associated with elevated health risks. Among these, insulin resistance (IR)—a metabolic condition linked to diabetes, hypertension, and cardiovascular diseases—has emerged as a critical yet underrecognized threat. IR is also strongly associated with an increased risk of dementia, particularly Alzheimer's disease and vascular dementia. For life and health insurers operating in markets such as Greater China and Southeast Asia, traditional underwriting methods face significant challenges in accurately assessing these evolving risks. This article investigates the limitations of conventional approaches and explores the potential of continuous underwriting methodologies to better align risk assessment with dynamic lifestyle factors.

Description: This article highlights emerging accelerated underwriting (AUW) monitoring trends and best practices that carriers can implement for monitoring their own AUW programs. It includes high-level mortality slippage findings based on a reinsured study population comprised of both pre- and post-issue auditing methods (random holdouts and post-issue audits) conducted on over 33,000 AUW applicants over the past decade.

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: 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 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: Description and welcome to the 2020 Canadian Reinsurance Conference including highlight of the key note speaker

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.