Smart Data Framework: Prior Authorization and Claims Matching

Prior authorization and claims information frequently arrive through separate systems, formats, and workflows. This fragmentation can create unnecessary reconciliation work, increase the risk of preventable denials, and delay resolution for health plans, providers, and members.

Everforth Apex engages as a services partner with proven experience applying AWS AI to complex payer document workflows, including a serverless provider-contract intelligence solution built with AWS Bedrock, Lambda, and DynamoDB that materially reduced processing time and cost for a Fortune 500 health insurer. We apply that same delivery discipline here: discovery, solution design, build, integration testing, and hypercare.

Using our Smart Data Framework, the solution transforms authorization documents and claims materials into structured, comparable information, extracting relevant details including patient, provider, service, date, procedure, authorization, and coverage information. Matching rules — configured by our consultants with your operations team — identify aligned records and surface discrepancies, incomplete documentation, missing authorizations, or inconsistent information for review. Straightforward matches move more efficiently through established workflows, while complex exceptions are directed to qualified staff. Supporting evidence remains connected to each match or discrepancy so reviewers understand the basis for the result.

Operations teams spend less time searching across systems and more time resolving the cases that require expertise. Human oversight and existing clinical, payment, coding, and compliance controls remain part of the adjudication process, and our team can continue to tune rules and support the solution after go-live.

The result is faster reconciliation, fewer manual errors, improved exception visibility, and a more predictable experience for health plans, providers, and members.