Caught the copay defect review missed.
A large national payer reconstructed how copays should have been applied, and found where they were not.
Challenge
The questions
- 01Where did applied copays differ from the governing benefit rules?
- 02Which claims and members were affected, and by how much?
- 03What explained the pattern across the affected population?
Routine claims review was in place, yet a problem in how copays were configured had not been caught.
Understanding the issue required connecting the payment record to the rules that governed member responsibility. Claims, benefit information, and member history each held part of the answer. The team needed a consistent way to reconstruct what should have happened. Then it could find where actual application differed and establish the financial magnitude.
A suspicious amount alone was insufficient. An investigation had to distinguish an actual discrepancy from an adjustment, a valid exception, or incomplete information. That required examining each claim in its business setting and preserving the explanation behind each conclusion.
Solution
Flume brought the relevant claims, benefit rules, and member information into one investigation. ContextBase connected the source relationships and business logic needed to interpret the records consistently.
The analysis compared how copays were applied with the applicable rules. It then organized the discrepancies into a reviewable view of the affected claims and members. Each explanation traced back to the underlying evidence. The team could examine the finding and decide how to respond.
The investigation traced the pattern to a copay configuration defect and sized the exposure. Its supporting logic became a foundation for repeat analysis and ongoing monitoring.
Reviewers could move from the aggregate finding to the records behind it and trace the calculation. They could apply the same reasoning to more claims or later periods.
Impact
- The affected claims and members were identified and traced to one configuration defect.
- Claims, benefit, and accumulator data were connected in one investigation.
- Payment accuracy questions were answered without standing up a new pipeline.
- Every finding traced to the queries and records behind it.
Start with the question your team keeps waiting on.
See how ContextBase answers it on your own claims, eligibility, and contract data.