Automated Diagnostic Referral & Prior Authorisation Pipeline
CYVERRA engineered an automated clinical referral intake and insurance prior authorisation pipeline for an outpatient care network. The platform modernised document ingestion, structured clinical data extraction, and streamlined payer approval workflows.
Specialist diagnostic and outpatient healthcare network
- -62%
- Referral processing cycle time
- 74%
- Straight-through referral processing
- -41%
- Payer prior-authorisation denial rate
- 3,200 hrs
- Monthly administrative capacity recovered
The Challenge
The healthcare provider operated 24 outpatient diagnostic and imaging facilities processing over 45,000 specialist referrals monthly. Inbound requests arrived across fragmented channels, including secure email, unstructured PDF uploads, electronic health record (EHR) interfaces, and legacy digital fax systems. Administrative and clinical intake personnel were required to manually review medical charts, extract clinical indication codes, verify active insurance eligibility, and cross-reference clinical necessity criteria to submit pre-authorisations to private health insurers. This manual process generated significant backlogs, extending average scheduling turnaround to nearly six days for routine diagnostic procedures. Additionally, high variance in document quality and manual data entry errors resulted in elevated initial claim and pre-authorisation rejection rates, inflating administrative costs and delaying necessary patient diagnostics.
Our Approach
CYVERRA delivered an enterprise workflow automation architecture that transformed inbound referral triage into an automated, straight-through pipeline. The solution deployed intelligent document processing to ingest, classify, and extract unstructured clinical notes, lab values, and diagnostic codes using medical taxonomy-trained NLP models. The core orchestration engine was developed on Camunda BPM and hosted within a HIPAA-compliant AWS cloud environment. The pipeline integrated with external payer portals via secure APIs and HL7 FHIR endpoints to automate real-time insurance verification and medical necessity cross-matching against insurer rules engines. A unified triage workspace was created for clinical coordinators to manage rule exceptions, complex prior-authorisation escalations, and edge cases. Role-based audit logging and encrypted data handling ensured strict compliance with clinical governance standards throughout the lifecycle.
The Outcome
The implementation reduced the end-to-end referral-to-scheduling cycle time by 62%, transforming multi-day administrative delays into same-day booking confirmations for standard diagnostic appointments. Over 74% of inbound referral packages achieved straight-through processing without requiring human data re-entry. First-pass prior-authorisation acceptance rates rose markedly, reducing insurance administrative denials by 41%. The operational time savings allowed administrative staff to redirect approximately 3,200 hours per month toward high-touch patient support and rapid clinical escalation management.
Technology used
- Camunda BPM
- HL7 FHIR API
- Python / spaCy
- AWS Lambda
- PostgreSQL
- React
- Docker
Automating our referral ingestion and pre-authorisation workflows removed critical operational bottlenecks and enabled our teams to focus entirely on timely patient care.