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Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

Before the Lightbulb: Understanding the First Phase of the AI Revolution in Medicine

https://www.youtube.com/embed/CPyoUqi-i-o
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Hi all,

Let's do some more work about the testing data generation and export the result by REST API.😁

Here, I would like to reuse the datagen.restservice class which built in the pervious article Writing a REST api service for exporting the generated patient data in .csv

This time, we are planning to generate a FHIR bundle include multiple resources for testing the FHIR repository.

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Hello and welcome to the September 2025 Developer Community YouTube Recap.
InterSystems Ready 2025
By Dean Andrews, David Reche
By Aldo Faisal
By Kari Hedges
By Scott Gnau, Peter Lesperance, Tom Woodfin, Gokhan Uluderya, Jeff Fried, Daniel Franco
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Introduction

In a previous article, I presented the IRIStool module, which seamlessly integrates the pandas Python library with the IRIS database. Now, I'm explaining how we can use IRIStool to leverage InterSystems IRIS as a foundation for intelligent, semantic search over healthcare data in FHIR format.

This article covers what I did to create the database for another of my projects, the FHIR Data Explorer. Both projects are candidates in the current InterSystems contest, so please vote for them if you find them useful.

You can find them at the Open Exchange:

In this article we'll cover:

  • Connecting to InterSystems IRIS database through Python
  • Creating a FHIR-ready database schema
  • Importing FHIR data with vector embeddings for semantic search

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Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

How Technology Communities Drive Professional Careers

https://www.youtube.com/embed/vc_-Ovegwfo
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Hi Community!

We’re excited to announce a brand-new sweepstakes. This time, the theme is:

💡 Initial Developer Experience 💡

We want to hear your thoughts on how we can make the very first steps with InterSystems technologies smoother, clearer, and more inspiring. Whether it’s documentation, onboarding, setup, or tutorials, your ideas can make a real difference!

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Hey Community,

The InterSystems team put on our monthly Developer Meetup with a triumphant return to CIC's Venture Café, the crowd including both new and familiar faces. Despite the shakeup in both location and topic, we had a full house of folks ready to listen, learn, and have discussions about health tech innovation!

https://www.youtube.com/embed/-ER8dW6ZtQw
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Hi, Community!

🌤 Wondering about the potential benefits of moving to the cloud? Hear from our experts about:

Considerations for Adopting Health Connect Cloud

https://www.youtube.com/embed/d1u2ouDxKjs?utm_source=youtube&utm_medium=social&utm_campaign=d1u2ouDxKjs
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This anthropic article made me think of several InterSystems presentations and articles on the topic of data quality for AI applications. InterSystems is right that data quality is crucial for AI, but I imagined there would be room for small errors, but this study suggests otherwise. That small errors can lead to big hallucinations. What do you think of this? And how can InterSystems technology help?

https://www.anthropic.com/research/small-samples-poison

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Target Practice for IrisClusters with KWOK

KWOK, Kubernetes WithOut Kubelet, is a lightweight tool that simulates nodes and pods—without running real workloads—so you can quickly test and scale IrisCluster behavior, scheduling, and zone assignment. For those of you wondering what value is in this without the IRIS workload, you will quickly realize it when you play with your Desk Toys awaiting nodes and pods to come up or get the bill for provisioning expensive disk behind the pvc's for no other reason than just to validate your topology.

Here we will use it to simulate an IrisCluster and target a topology across 4 zones, implementing high availability mirroring across zones, disaster recovery to an alternate zone, and horizontal ephemeral compute (ecp) to a zone of its own. All of this done locally, suitable for repeatable testing, and a valuable validation check mark on the road to production.

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