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Healthcare RAG & Clinical NLP System

A clinical NLP stack combining transformer classifiers, entity extraction, and RAG-powered QA over patient and reference documents.

TransformersPyTorchPineconeNLP
Abstract teal and mint cover illustration for the Healthcare RAG and Clinical NLP project, showing linguistic ribbons layered over a clinical-document mesh.

Highlights

  • Fine-tuned transformer models for clinical entity extraction and section classification.
  • PHI-aware ingestion, redaction, and audit logging across the retrieval pipeline.
  • Grounded QA with strict citation to source clinical documents.

Outcomes

  • Improved clinical entity F1 by 12 points over off-the-shelf baselines.
  • Shipped as a HIPAA-aligned service integrated with existing EHR workflows.

Stack

  • PyTorch
  • Transformers
  • Pinecone
  • FastAPI
  • Docker
  • Kubernetes