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AI-Enabled Unstructured Data Ingestion Template for Healthcare — Preparing a Data-Ready Golden Layer
Soumit Roy
Rank 3 - Community Apprentice
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.
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