HealthcareClient: Aethel Health Corp

Deploying Private AI Knowledge Base for 5,000+ Medical Clinicians

Built a HIPAA-compliant medical RAG search engine that reduced clinical research time by 75% across 12 hospitals.

75%

Reduction in Research Time

<1.2s

Query Response Time

99.2%

Citation Accuracy

The Challenge

Doctors and clinical researchers spent over 2 hours daily searching through 500,000+ un-indexed PDF clinical trial papers and medical guidelines.

The Innovtec Solution

Innovtec engineered a private vector store using Qdrant and Llama 3 fine-tuned on medical ontologies. Includes strict role-based access and citation verification.

Target Architecture Blueprint

PDF Ingestion -> Hybrid Chunking Engine -> Embedding Generation (BioBERT) -> Qdrant Vector DB -> Llama 3 Fine-Tuned API -> Next.js Clinician UI

Technologies Employed

PythonQdrantLlama 3Next.jsAWS MedTech VPC