#IRIS contest

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Official announcements about InterSystems contests for developers. 

New
Announcement Jesse Reffsin · 7 hr ago

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!


⏯️ AI-Assisted Rare and Complex Disease Detection

This demo shows how InterSystems Health Gateway can be used to pull in outside patient records from networks like Carequality, CommonWell, and eHealth Exchange, creating a more complete longitudinal view in a clinical viewer. That full record is then analyzed by AI to surface potential rare disease considerations with clear reasoning, helping clinicians see patterns they might otherwise miss.

Presenters: 
🗣 @Jesse Reffsin, Senior Sales Engineer at InterSystems
🗣 @Georgia Gans, Sales Engineer at InterSystems
🗣 @Annie Tong, Sales Engineer at InterSystems

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Announcement Anastasia Dyubaylo · Apr 7

Hi Community!

We have another great initiative for you to sink your teeth into! Following last year's resounding success, we're hosting a new edition of the Demo Games. But with a twist: our North American Sales Engineers have submitted their best demo videos, but this time, you're the ones to take part and win a prize.

Please welcome the North American Demo Showcase! 🎉

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New
Announcement Simon Sha · Apr 16

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!


⏯️ AI Assistants for the Unified Care Record Powered by Gemini

In this demo, you will see how Gemini works directly with FHIR data, and how it leverages the harmonized dataset provided by InterSystems Unified Care Record. It also showcases multiple AI assistants helping multiple groups of users, e.g. clinicians, patients.

🗣 Presenter: @Simon Sha, Sales Architect at InterSystems

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New
Announcement Lynn Wu · Apr 14

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!


⏯️ 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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