Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
#North American Demo Showcase entry.
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We are using IRIS for Health to develop an agentic AI chatbot workflow that can interact with a patient using voice commands, reach out to an EHR or other system for context, and provide recommendations back.
Presenters:
🗣 @Vic Sun, Sales Engineer at InterSystems
🗣 @Brad Nissenbaum, Sales Engineer at InterSystems
🗣 Danielle Micciantuono, Clinical Solutions Specialist at InterSystems
This article introduces SHAP explainability methods as an approach to understand the reasons behind predictions in machine learning black-box models. It also includes a simple Jupyter notebook that you can use and modify to gain hands-on experience with these concepts:
https://www.kaggle.com/code/jorgeivnjh/explainability-in-ml-models
https://github.com/JorgeIvanJH/Explainability-in-ML-models
We will leverage these concepts for a future implementation in our Continuous Training Pipeline: https://community.intersystems.com/post/complementing-iris-mlflow-continuous-training-ct-pipeline
#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
#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
Ever since I started using IRIS, I have wondered if we could create agents on IRIS. It seemed obvious: we have an Interoperability GUI that can trace messages, we have an underlying object database that can store SQL, Vectors and even Base64 images. We currently have a Python SDK that allows us to interface with the platform using Python, but not particularly optimized for developing agentic workflows. This was my attempt to create a Python SDK that can leverage several parts of IRIS to support development of agentic systems.
In last post I talked about iris-copilot, an apparent vision that in near future any human language is a programming language for any machines, systems or products. Its agent runners were actually using such so-called 3rd generation of agents. I want to keep/share a detailed note on what it is, for my own convenience as well. It was mentioned a lot times in recent conversations that I was in, so probably worth a note.
Hey Community!
We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:
⏯ MCP Explained: Bridging the Gap between AI Agents and Tools
I'm starting to play more with AI enabled coding.
I've been using Github Copilot inside Visual studio code, which is very good at coming up with autocomplete suggestions that are accurate and useful. (Along with some utter rubbish, naturally).
For web development I'm starting to use Claude Code in VS Code to help create web sites and integrations. I want to see how it can help with IRIS development.
However I can't get claude to read any iris code directly as I'm connected to my server via isfs server connections.
Hi, Community!
Here's another way AI can speed up your processes—take a look! 👇
Generating Transformation Descriptions with the DTL Explainer
We didn't start with a big AI strategy.
We had a legacy InterSystems Caché 2018 application, a lot of old business logic, and a practical need: build a new UI and improve code that had been running for years. At first, I thought an AI coding agent would help only with a small part of the work. Maybe some boilerplate, some REST work around the system, and a bit of help reading old ObjectScript.
In practice, it became much more than that.
Over the past year there have been a few DC articles offering MCP servers designed to connect to IRIS and help the AI features of VS Code and its cousins do a better job. For example:
Hey Community!
We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube: