AI-Enabled Unstructured Data Ingestion Template for Healthcare — Preparing a Data-Ready Golden Layer

Soumit Roy

The AI-Enabled Unstructured Data Ingestion Template for Healthcare is a pre-built, agent-driven accelerator designed to ingest, classify, and transform unstructured healthcare data—including clinical notes, 835, 837, , and EHR document—into a standardized, analytics-ready “Golden Layer.”

NLP & Entity Recognition Agent

• Extracts medical terms, ICD codes, medications, patient identifiers, and procedures using pre-trained clinical NLP models.

• Supports multilingual data interpretation and contextual sentiment analysis (e.g., discharge notes).

• Feeds extracted entities into Oracle Analytics semantic models for downstream analytics.

• Golden Layer Preparation

• Curates the final, governed “Golden Layer” by standardizing data structures aligned with FHIR and healthcare domain models.

• Insight Agent

• Provides conversational access to Golden Layer insights through natural-language queries (“Show patient readmission trends by department”).

• Summarizes unstructured inputs and correlates them with structured data for deeper context.