Engineering a HIPAA-gated Predictive Scoring Mesh to automate care-level determinations—eliminating administrative friction and aligning payer-provider clinical pathways in sub-2 seconds.
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High-volume Utilization Management (UM) requiring automated clinical policy enforcement.
Healthcare Architect + NLP Data Scientists + HIPAA Compliance Lead embedded within Clinical Ops.
Accelerating 'Prior-Auth' decisions by matching real-time clinical notes against complex policy criteria.
FHIR-integrated Kafka streams, LLM-driven policy parsing, and immutable clinical logs.
The client’s prior-authorization process relied on manual faxes and fragmented portal uploads. This 'Reality Gap' created a 3-5 day latency in care determinations, leading to provider friction and increased risk of clinical denials due to missing documentation.
The risk was systemic: care delays were directly impacting patient outcomes and increasing administrative overhead for both providers and the payer. The enterprise required a shift from 'Reactive Review' to 'Real-Time Predictive Alignment' without violating strict HIPAA data-privacy guardrails.
Nurses manually cross-referencing PDFs against faxed clinical notes.
Real-time parsing of EHR data against dynamic medical policies via AI agents.
High risk of PHI leakage during multi-step manual data entry and transfer.
PII/PHI scrubbing and field-level encryption at the ingestion layer.
Fragmented workflows caused significant treatment delays.
Instantaneous determination for 85% of standard medical necessity requests.
Centralized clinical policy logic updated per region to ensure regulatory consistency across 50 states.
Decisions include evidence-based reason codes to satisfy provider queries and regulatory audits.
Intelligent triage ensures clinicians only review complex gray-area cases while standard care is auto-authorized.
Pre-built logic for secure PHI de-identification and re-identification within regulated environments.
Production-ready templates for rapid clinical data ingestion from Epic, Cerner, and Allscripts.
Real-time monitoring for clinical model drift and auth-approval distribution dashboards.
Automated logic to identify high-cost variations and align care with cost-effective clinical pathways.
Agentic scoring removed manual review backlogs, accelerating time-to-treatment for patients.
Predictive alignment ensured that missing documentation was identified before the request hit the reviewer.
Low-latency architecture ensures clinical workflows are never interrupted by system lag.
Client Testimonial
Coretus didn't just automate a process—they deployed a governed clinical mesh that reconciled our administrative debt with patient care reality. We suppressed auth noise by 85% immediately, allowing our clinicians to focus on care, not faxes.
Chief Medical Officer // Tier-1 Managed Care