Description: Survey for Life Insurance Utilization of Automated Underwriting systems.

Description: Underwriting specialty risks in life insurance can be challenging, but due diligence is at the core of what allows us to make the best and most informed decision.

Description: This article explores implications for the future of improving the application of existing underwriting techniques and and taking maximum advantage of new technologies.

Description: The sentinel effect in the underwriting process refers to the tendency for unhealthy individuals to apply for insurance coverage where testing is not performed. The article reports on evidence of the effect with respect to cocaine and tobacco use and HIV positive prevalence

Description: This is a report that summarizes a Survey of Life Insurance Utilization of Automated Underwriting Systems. It was sponsored by the Committee on Life Insurance Research, Marketing and Distribution and Product Development Sections of the Society of Actuaries and the research was conducted by Deloitte. The report covers many aspects of how much industry interest there is for automated underwriting systems, the goals life insurers seek to accomplish in using them, how the automated systems function, and how successfully they perform.

Description: Recent Population Cause of Death Trends and Implications for Life Insurance

Description: PartnerRe Life and Health is rapidly growing its presence in global markets. This growth means that our medical underwriting team has to handle 25 percent more cases every year. To manage these additional cases without increasing headcount at the same pace, the team has to operate more and more efficiently. In a market where response time is a key differentiator, we improve efficiency by using machine learning to triage and prioritize the underwriting team's case work. In this talk, we describe the model pipeline end to end. That is, we cover the entire implementation chain from accessing data to the eventual evaluation of the added value. In particular, we discuss often neglected topics such as model risk mitigation, technical deployment of the model and integration into business processes.

Description: Read the Quo Vadis Reinsurance.

Description: This is a tool to model the impact of a ban of the use of genetic testing information in life insurance underwriting.

Description: The SOA Research Institute engaged Milliman to perform a study examining life insurer practices on accelerated underwriting and how COVID-19 has impacted them. This effort included a separate outreach to actuaries working for twelve different state insurance departments. At the time of this report, three responses to our regulatory survey had been received. Therefore, the results of the three-question survey are discussed in broad terms, rather than using numerical measurements.