Life insurance carriers regularly leverage medical data and non-medical data (such as public records, driving history and credit) for risk decisioning.
But most carriers look at medical and non-medical data separately, and that means they could be missing hidden opportunities—and hidden risks.
The 2024 LexisNexis® Risk Solutions Insurance Mortality Risk Management Study reveals that by combining electronic medical and non-medical data, carriers can identify segments with better-than-average mortality risk—even within populations considered high risk.
For example:
- Among applicants with type 2 diabetes, 10% have average mortality risk.
- Among applicants with asthma, 60% have average or better-than-average mortality risk.
- Among applicants with sleep apnea, 50% have average or better-than-average mortality risk.
By combining medical and non-medical data, carriers can uncover hidden insights to:
- Make faster, more informed decisions.
- Flag risky attributes to help mitigate mortality slippage.
- Identify applicants that can be accelerated—and those that warrant closer scrutiny during manual underwriting.
If you’re analyzing medical and non-medical data separately, you could be overlooking opportunities to improve decision-making—and missing hidden risks that could have long-term effects on the bottom line. Access the full report for our full analysis.