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#North American Demo Showcase entry
⏯️ HL7 Validation Error Profiler: Rapid Insights into Batch HL7 Data Quality Issues
This demo highlights how HL7 validation logs can be transformed into scalable, actionable data quality insights using a lightweight application built on top of Health Connect.
- Batch ingestion and parsing of HL7 validation error logs into structured data
- Aggregation of errors by segment, field, and type to reveal systemic issues
- Interactive dashboard (Streamlit) for filtering, exploration, and root cause analysis
- Rapid identification of top error patterns across entire data feeds
- Natural language chatbot for intent-driven data investigation and querying
- PDF report generation for sharing clear, evidence-based feedback during data source onboarding
Special thanks to @Henry Wojnicki for his contributions to designing and refining the application workflow.
🗣 Presenter: @Lynn Wu, Sales Engineer at InterSystems
