The Customer
A mid-sized healthcare provider group in Texas, managing 200+ physicians and outpatient
centers. They struggled with slow and error-prone claim reviews, leading to delays in reimbursements and compliance risks
Fun Fact
By introducing AI + RPA, the provider reduced claim review turnaround from 5 days to less than 12 hours, improving cash flow by nearly $3.5M annually.
Challenges
- High Claim Volume: 25000+ Insurance claims/ month were processed manually.
- Errors & Rejections: 12–15% claims faced rejection due to miscoding or incomplete reviews.
- Compliance Risk: Delays in CAC (Clinical Audit & Compliance) reviews led to potential penalties.
- Staff Burnout: Teams spent long hours verifying claims, with frequent backlogs.
Cognic Solution
Cognic Systems deployed a Healthcare Claims AI Review Agent integrated with existing EHR and billing systems:
- Automated Claim Scanning: AI agents parsed claim documents, checking diagnosis
codes against treatment records. - LamChain Integration: Chain-based memory allowed the bot to “remember” prior claim history for recurring patients.
- Math & Anomaly Detection: Automated identification of unusual billing patterns (e.g., high-value discretionary procedures).
- n8n Workflow Automation: Claims with red flags were routed automatically to
compliance staff with supporting evidence. - Language Support: Integrated Ollama for on-the-fly summarization and English translation of claims from Spanish-speaking patients.
Benefits
Technology Used
AI Agents, LamChain, Ollama, Python NLP Models, n8n Workflow, AWS Lambda, HIPAA compliant RPA bots