#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