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Hey Community,

We're excited to invite you to the next InterSystems UKI Tech Talk webinar:

👉AI Vector Search Technology in InterSystems IRIS

⏱ Date & Time: Thursday, September 25, 2025 10:30-11:30 UK

Speakers:
👨‍🏫 @Saurav Gupta, Data Platform Team Leader, InterSystems
👨‍🏫 @Ruby Howard, Sales Engineer, InterSystems

2025 Upcoming Tech Talk Social Tile template (6).png

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I try the Large data Save in FHIR server in Binary Resource but it's failed

Methed: Post , URL: fhirservers/fhir/r4/Binary

I hit the API but the record not save and same API but base64 data length is 3 lac than it's save without faile.

I pass data on this formet

{

"resourceType" : "Binary",

// from Resource: id, meta, implicitRules, and language

"contentType" : "<code>", // R! MimeType of the binary content

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Hi, Community!

Looking for ways to improve your application testing? See how to build requirements such as performance and scalability into your development workflow:

Testing Non-functional Requirements in Applications

https://www.youtube.com/embed/wkL7ciIOSzY?utm_source=youtube&utm_medium=social&utm_campaign=wkL7ciIOSzY
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Announcement
· Jul 31, 2025
[Demo Video] AI Clinical Trial Platform

#InterSystems Demo Games entry

⏯️ AI Clinical Trial Platform

The Trial AI platform leverages InterSystems cloud services including the FHIR Transformation Service and IRIS Cloud SQL to assist with clinical trial recruitment, an expensive and prevalent problem. It does this by ingesting structured and unstructured healthcare data, then uses AI to help identify eligible patients.

Presenters:
🗣 @Vic Sun, Sales Engineer, InterSystems
🗣 @Mohamed Oukani, Senior Sales Engineer, InterSystems
🗣 @Bhavya Kandimalla, Sales Engineer, InterSystems

https://www.youtube.com/embed/es7xI0g5OQg
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I'm following this guide as well as the sample.cs file and getting an error message on this line

cache_connection.Connect();

The error is:

Caught GlobalsException: lc_conn::connect_device returned Db_err: source: lc_conn::connect() message: lc_conn::connect: CacheSecureStart returned -15: <ACCESSDENIED>

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Here is what is currently used.

..CurrentDateTime("%Y%m%d%H%M%S")

The format is not the issue.

I need to make it our current time as it is five hours ahead.

How can I access the header property of either of these.

Or, if I can't do that, subtract five hours or the equivalent time in seconds.

example, if I receive 20201224161922, how can I make it 20201224111922?

Thanks,

Jonathan

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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:

⏯ Chaining LLMs for Better Results using Agentic AI

https://www.youtube.com/embed/hAtuAIihBVA
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Hi,

We're working on new capabilities to help you build Agents and AI applications faster with InterSystems IRIS. In order to better understand which entry points and development methodologies would help you most, we've created this brief survey: Building AI solutions with InterSystems IRIS.

Filling it in should not take much more than 5 minutes, and your feedback on this exciting topic will help us fine tune our designs and prioritize the right features.

Thanks in advance!
benjamin

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Hey Community!

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

⏯ Python Interoperability Productions @ Ready 2025

https://www.youtube.com/embed/TJ5zf3FsqjA
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Question
· Sep 25, 2025
Setting up MQTT connection

Hi,

My understanding that in IRIS we create an Inbound Adapter that would act like a Broker (connecting to server X) then have an MQTT outbound adapter to receive those messages?

Is there a quick sample that we could user to show how to setup these two Adapters, I started with this but I couldn’t for example find EnsLib.MQTT.Adapter.Inbound

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The below code is not working. its unable retrieve Record count and merge files

Class Util

{

ClassMethod zPyRecordCount(inputfile) As %Integer [ Language = python ]

{

import pandas as pd

import iris

import io

try:

df = pd.read_csv(inputfile, sep='|')

recordcount=len(df.index)

sys.stdout.write(len(df.index))

return recordcount

except Exception as e:

return 0

}

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I am attempting to follow the tutorial at Publishing Web Services Using Caché | Caché Web Services QuickStart Tutorial | Caché & Ensemble 2018.1.4 – 2018.1.11 to build a toy SOAP web-service using Cache but am running into what I suspect are permissions issues, or perhaps setting up the "plumbing" to get an incoming request to call the web-service methods.

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Hi community,

I have a service that uses EnsLib.RecordMap.Service.FTPService to capture files in an FTP directory.

Instead of uploading them all at once, I would need to do so one at a time.

I have a class that extends this class because it preprocesses, saves everything in the RecordMap class, and then processes all the records at once.

When I invoke the BP, it does so through the method set tStatus = ..SendRequest(message, 1).

I've set the SynchronousSend flag to 1, but it continues processing all the files at once.

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The default request class, Ens.Request is fine for our initial workflow.

We want to define other workflows that will reuse the same BPL class. These workflows would send messages inbound to the BPL as different request classes.

Is this possible or is it required that we send in a request class matching the context request class in the context tab?

Thank you

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Hi Guys,

I get the below error when trying to compile an imported class in IRIS, it compiles if I remove [ Collection = list ] so not sure about the use of [ Collection = list ] and if removing it would affect anything and its just a duplication?

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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:

⏯ Can AI fix bugs? The setup

https://www.youtube.com/embed/l7Nd-ZMXksM?si=T3H8LLy2AePWzdUH
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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:

⏯ Streamlining Electronic Prior Authorizations with FHIR

https://www.youtube.com/embed/G7KMqrMxwiA
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cover

In Part 1, we laid the technical foundation of MAIS (Multi-Agent Interoperability Systems). We have successfully wired up the 'Brain', built a robust Adapter using LiteLLM, locked down our API keys with IRIS Credentials, and finally cracked the trick code on the Python interoperability puzzle.

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