Clinical Documentation Integrity AI Agent

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At the core of Nova AI Services’ innovation is a Healthcare AI Agent purpose-built to enhance clinical documentation workflows. It automates manual chart reviews performed by CDI specialists — reducing documentation turnaround from days to seconds while maintaining clinical integrity. Using Mistral-7B with Retrieval-Augmented Generation (RAG), the agent grounds every recommendation in CDI and HEDIS guidelines — eliminating hallucinations while maintaining clinical precision.

Real-Time Analysis: The AI Agent processes live physician notes, extracting diagnoses, vitals, labs, and screening data.

Context-Aware:  Query Generation Through hybrid semantic retrieval (BM25 + vector search), the system identifies relevant guideline sections and generates queries grounded in those sources.

Evidence-Based Recommendations: Every AI-generated output includes citations from ICD-10-CM, KDIGO, GOLD, and other CDI rulebooks — ensuring clinical confidence.

 LLM Optimization

• Mistral-7B-Instruct fine-tuned with QLoRA (4-bit quantization) 
• 75% memory reduction — single 16GB GPU deployment 

RAG Pipeline

• LangChain + ChromaDB with semantic retrieval (k = 2) 
• TF-IDF re-ranking and context validation 

Production API

• FastAPI microservice with async processing and health checks 
• Global model initialization for high availability 

EHR Integration

• FHIR-compliant connectors for Epic, Cerner, and eClinicalWorks 
• OAuth 2.0 authentication and secure data exchange 

• Clinical Guidelines ICD-10-CM 2025, KDIGO AKI, GOLD COPD, HEDIS 2024 quality measures
• CDI Rules Malnutrition severity, pneumonia organism specificity, respiratory failure linking, AKI staging
• Corpus 500+ multidisciplinary sample notes (cardiology, nephrology, pulmonology)

• 75% GPU memory savings with quantization 
• Real-time inference (<1 s retrieval latency)
• Source citation and audit trail 
• HEDIS metric integration for value-based care 
• LLM Fine-Tuning & Quantization • RAG System Design • FHIR Interoperability • Vector Databases • Async Python • FastAPI • GPU Optimization