Reducing manual review touchpoints with Clinical NLP
A national payer was struggling with a backlog of complex claims requiring clinical review. Manual nurses could only process 3 claims per hour.
We deployed the ADI RevCycle Suite to ingest medical records and automatically map them to policy criteria, flagging only exceptions for human review.
Potential reduction in manual review volume
Demonstrated increase in processing speed
Validation of clinical data extraction accuracy
Validated use cases reflect proof-of-concept and pre-pilot implementations. Results may vary based on data quality and integration scope.