Description: This report, part of the Society of Actuaries [SOA] ‘Experience Studies – Business Practice Surveys,’ presents the results of a survey conducted by the SOA Committee on Life Insurance Mortality and Underwriting Surveys – Improving the New Business Process Survey Subcommittee. The survey examined the various changes U.S. and Canadian life insurance companies have recently made, or are considering making, to improve the new business process and to determine which changes were considered by the respondents to have had the most impact. Survey topics include the application process, changes to underwriting requirements, underwriting systems, underwriting resources, experience based on past changes, and policy delivery.

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

Description: This article discusses new tools to underwrite faster, cheaper and better in order to be more profitable and also market to the middle market.

Description: This article provides a summary of “Insurance Coverage for ALL: And How Insurers Can Afford to Provide It”, a session at a recent SOA meeting.

Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.

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

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.