A top commercial underwriter needed to assess the financial risk of a new commercial group by leveraging employee-level de-identified data to power a more informed underwriting process. Its goal was to more accurately set group pricing and more effectively determine the optimal groups for inclusion in their client portfolio based on risk and learnings derived from the data.
Discover how the payer was able to:
- De-identify and resolve patient identity for large-scale employer populations
- Make decisions on whether to proceed with offering a quote or declining the opportunity
- Write 30% more group policies