Predicting and Preventing Claim FWA with Advanced Profiling Analytics

This session covered

New and emerging challenges facing payers, how recent thinking can address those obstacles, and exemplar use cases.
The need to progress beyond claim level analysis for FWA.
How to apply predictive models and rich data benchmarks to better identify true outliers.
The impact of analytics and profiling on FWA.
The importance of leveraging predictive models, member/provider profiles, and rich multi-source data to identify FWA patterns, reduce errors, limit false- positives, and improve overall performance recoveries.
Innovative approaches which leverage data analytics to drive behavior modification.