The use of predictive analytics in disability insurance is certainly not a new topic, but one that can be intimidating when looking at applying it to ...
The use of predictive analytics in disability insurance is certainly not a new topic, but one that can be intimidating when looking at applying it to your own claims data to help you make important decisions. The benefits, however, cannot be overlooked. They include, but are not limited to:
- Reduced claims leakage
- More opportunities for early intervention
- Improved/shortened claim durations
- More effective use of existing claims handlers’ time
- Better claims outcomes overall
Are you considering (or already using) predictive scoring to help in meeting your company’s strategic goals in claims? Join us for this brief and informative webinar to learn the top 5 activities and data points that you should be capturing in order to make fundamental and more accurate predictions on your claims data to improve your bottom line.
Adam Dunne, Product Manager at FINEOS. His research at FINEOS is focused on the application of Predictive Analytics in DI claims management to reduce durations and positively influence claimant recovery and claims examiner efficiency.
FINEOS’ solutions in this area remove the common obstacles to implementing predictive models and offer our customers a clear and straight-forward path to value.