Engineering an AI-orchestrated Prior Authorization mesh to automate clinical evidence gathering and policy matching—reducing claim denials while ensuring 100% HIPAA compliance.
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Large-scale health system requiring sub-second clinical policy mapping across thousands of daily procedures.
Healthcare Solutions Architect + Clinical Data Engineer + MLOps Lead embedded within Revenue Cycle Management (RCM).
Automating the 'Evidence Gap' between EHR documentation and Payer-specific medical necessity rules.
FHIR v4 API backbone, NLP-driven clinical extraction, and agentic policy orchestrators.
The client’s legacy RCM infrastructure relied on manual clinical reviews that failed to keep pace with evolving Payer policies. This 'Execution Gap' resulted in a 42% higher medical necessity denial rate than the national average, trapping millions in unrecovered claims.
The risk was clinical and commercial: patients faced care delays due to slow authorizations, and physician burnout increased as staff struggled with fragmented EHR data silos. The system required a transition to 'Governed Automation' without compromising HIPAA-mandated PHI security.
Manual extraction of clinical notes led to missed evidence and high denial rates.
Real-time clinical signal ingestion with automated HIPAA-compliant policy matching.
Decisions were dependent on individual reviewer expertise with no consistent audit trail.
Immutable logs containing the exact clinical state used to justify every authorization.
Auth backlogs caused procedure cancellations and increased patient anxiety.
Managed horizontal scaling maintains sub-second responses even during peak clinical hours.
Advanced NLP patterns that identify and anonymize sensitive patient data before it enters the AI inference layer.
The AI acts as an autonomous clerk, navigating EHR sub-menus to find the specific lab result required for authorization.
Triggers automated auth requests the moment a physician enters an order, eliminating human delay.
Pre-audited schemas for secure FHIR ingestion and BAA-compliant cloud storage.
Production-ready templates for clinical entity recognition and medical policy parsing.
Real-time monitoring for EHR connection health and clinical data-drift dashboards.
Automated cost-per-authorization monitoring to maintain 85% lower OpEx than manual review.
Precise clinical evidence gathering eliminated 'lack of information' denials from major Payers.
Agentic automation handled 90% of routine auths, allowing staff to focus exclusively on complex appeals.
Low-latency architecture ensures clinical workflows are never delayed by administrative processing.
Client Testimonial
Coretus didn't just automate a task—they engineered a governed clinical mesh. We recovered 42% of denied revenue immediately, and our physicians finally have their time back to focus on patients.
SVP of Revenue Cycle // Tier-1 Health System