[Demo Video] HL7 Validation Error Profiler: Rapid Insights into Batch HL7 Data Quality Issues
#North American Demo Showcase entry.
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⏯️ 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
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Which programming language is the HL7 validation data profiler implemented in?
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Comments
Nice job Lynn!
And Henry too!
Which programming language is the HL7 validation data profiler implemented in?
The programming language used is Python. Also it uses libraries like pandas and plotly. And Claude Code to speed up development.
Thank you so much to @Henry Wojnicki and @Lynn Wu for your effort. I really liked this video.
Here is the github repo. https://github.com/lynnwux/hl7-validation-error-profiler