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Medical Data Ingestion Pipeline - System Information

Version Information

System Overview

The Medical Data Ingestion Pipeline is an enterprise-grade cloud-based healthcare data processing system that automates the extraction, analysis, and indexing of clinical information from medical documents. Built entirely on Microsoft Azure cloud services, the system uses Azure AI services (Document Intelligence, Text Analytics for Health, AI Search, OpenAI) to process unstructured medical data and transform it into structured, searchable information with enterprise-grade security and scalability.

Key Capabilities

Automated Document Processing

OCR, entity extraction, and patient linking in a 6-stage pipeline

Clinical Entity Recognition

AI-powered extraction of conditions, medications, procedures, and test results

Semantic Search

BioBERT embeddings enable natural language medical queries

Real-time Analytics

Pipeline monitoring, entity trends, and system health dashboards

Technology Stack

Backend

Python 3.11
Runtime
FastAPI
Web Framework
SQLAlchemy
ORM
Apache Airflow
Orchestration
Pydantic
Data Validation

Database & Storage

PostgreSQL 15
Primary Database
Azure Blob Storage
Document Storage
Azure AI Search
Semantic Search

Azure AI & Machine Learning

Azure TAF
Entity Extraction
Azure Document Intelligence
OCR Processing
Azure OpenAI
Embeddings (1536-dim)
Azure AI Search
Vector Search

Frontend

Next.js 14
React Framework
TypeScript
Type Safety
TanStack Query
Data Fetching
Tailwind CSS
Styling

Performance Metrics

API Response Time

120-200ms

85% faster than v1 API

Payload Reduction

80-96%

Through pagination and lazy loading

Query Optimization

90-98%

Fewer database queries with caching