Building AI-Powered Healthcare Appeals: A Three-Stage Architecture Guide

Most healthcare orgs only chase one of two appeal paths when claims get denied. The other path – member appeals – is a technical problem worth solving. When a claim is denied, clinical staff typically file a provider appeal. But every patient also has a legal right to file a member appeal , which triggers a separate adjudication track with different review criteria. Most organizations ignore this path entirely, leaving recoverable revenue on the table. Building member appeals at scale is an integration and automation problem: pull clinical data from the EHR, match it against payer-specific criteria, generate patient-facing documentation, and track outcomes. Here's a three-stage architecture for building that system. The Integration Layer: FHIR + HL7 Before any AI logic, you need reliable data access. The clinical evidence supporting appeals (lab results, medication history, prior authorizations) lives in Epic, Oracle Health, MEDITECH, and similar systems. You'll likely need both major