Here are the technology bonuses for the InterSystems "Bringing Ideas to Reality" Contest 2024 that will give you extra points in the voting:

  • IRIS Vector Search usage -3
  • Embedded Python usage -3
  • InterSystems Interoperability - 3
  • InterSystems IRIS BI - 3
  • VSCode Plugin - 3
  • FHIR Tools - 3
  • Docker container usage -2
  • ZPM Package Deployment - 2
  • Online Demo -2
  • Find a bug in Embedded Python - 2
  • Code Quality pass - 1
  • Article on Developer Community - 2
  • The second article on Developer Community - 1
  • Video on YouTube - 3
  • YouTube Short - 1
  • First Time Contribution - 3

See the details below.<--break->

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InterSystems Developer Community is a community of 25,181 amazing developers
We're a place where InterSystems IRIS programmers learn and share, stay up-to-date, grow together and have fun!

Introduction

MonLBL is a tool for analyzing the performance of ObjectScript code execution line by line. codemonitor.MonLBL is a wrapper based on the %Monitor.System.LineByLine package from InterSystems IRIS, designed to collect precise metrics on the execution of routines, classes, or CSP pages.

The wrapper and all examples presented in this article are available in the following GitHub repository: iris-monlbl-example

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Article
· Feb 3 3m read
SQL Host Variables missing ?

Host Variables are a rather common programming feature in many implementations of SQL.
A recent question in DC made me aware that in IRIS, Caché, Ensemble, ...
host variables just exist within embedded SQL

> You can supply host variables for Embedded SQL queries only. <

Related examples are included in the available Documentation

This is a description for a workaround if you don't / can't use embedded SQL.

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I'm trying to call a SOAP web service which is implemented in .NET Classic and requires NTLM authentication. The client class was generated by %SOAP.WSDL.Reader. The problem is that neither NTLM authentication works nor can I handle the exception since VSCode debugger says that all meaningful fields and properties are empty (the same request works fine in Postman):

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Article
· Oct 22 2m read
Tips on handling Large data

Hello community,

I wanted to share my experience about working on Large Data projects. Over the years, I have had the opportunity to handle massive patient data, payor data and transactional logs while working in an hospital industry. I have had the chance to build huge reports which had to be written using advanced logics fetching data across multiple tables whose indexing was not helping me write efficient code.

Here is what I have learned about managing large data efficiently.

Choosing the right data access method.

As we all here in the community are aware of, IRIS provides multiple ways to access data. Choosing the right method, depends on the requirement.

  • Direct Global Access: Fastest for bulk read/write operations. For example, if i have to traverse through indexes and fetch patient data, I can loop through the globals to process millions of records. This will save a lot of time.
Set ToDate=+H
Set FromDate=+$H-1 For  Set FromDate=$O(^PatientD("Date",FromDate)) Quit:FromDate>ToDate  Do
. Set PatId="" For  Set PatId=$Order(^PatientD("Date",FromDate,PatID)) Quit:PatId=""  Do
. . Write $Get(^PatientD("Date",FromDate,PatID)),!
  • Using SQL: Useful for reporting or analytical requirements, though slower for huge data sets.

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One of the challenges of creating a DICOM message is how to implement putting data in the correct place. Part of it is by inserting the data in the specific DICOM tags, while the other is to insert binary data such as a picture - In this article I will explain both.

To create a DICOM message, you can either use the EnsLib.DICOM.File class (to create a DICOM file) or the EnsLib.DICOM.Document class (to create a message that can be sent to PACS directly). In either case, the SetValueAt method will allow you to add your data to the DICOM tags.

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Our goal on the Developer Community is to foster a high-quality, trustworthy, and original body of technical content created by and for developers. While AI tools like ChatGPT can be helpful in the writing process, we expect all published content to reflect authentic expertise and personal understanding. If you have any questions or wish to discuss your coding problem with an AI, consider using our Developer Community AI chat.

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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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This article is part of a series showcasing the implementation of ideas from the Ideas Portal, where innovative concepts come to life!

Many InterSystems IRIS developers frequently need to create unit tests for ObjectScript classes — a process often done manually. The iris-tripleslash application revolutionizes this by automatically generating unit test classes with test methods for all the class methods of the original class. Developed by the talented Musketeers team @José Pereira, @Henrique Dias, @Henry Pereira — this tool was inspired by an idea shared by @Evgeny Shvarov on the Ideas Portal: "Add a project that helps to generate unittests for an ObjectScript class".

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Hi noble devs!

Just building a simple frontend->JSON->IRIS backend story, and figured that IRIS while importing via %JSON.Adaptor wants JSON fields to match property names, meaning even should match the case. Like:

{ name: "John", 

surname: "Doe"}

will have issues while saving the dynamic object to a class Sample.Person with:

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I am receiving the garbled text due to incorrect encoding or decoding. I tried to use the $zconvert function to convert it into the normal text but failed to do that. Can anybody suggest what I have to use to convert that into normal text?

Example: Garbled text that I am getting is "canââ¬â¢t , theyââ¬â¢re".

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Are you curious about how to run Python scripts directly in your InterSystems IRIS or Caché terminal? 🤔 Good news it's easy! 😆 IRIS supports Embedded Python, allowing you to use Python interactively within its terminal environment.

How to access the Python Shell?

To launch the Python shell from the IRIS terminal, simply run the following command:

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I am regularly contacted by customers about memory sizing when they get alerts that free memory is below a threshold, or they observe that free memory has dropped suddenly. Is there a problem? Will their application stop working because it has run out of memory for running system and application processes? Nearly always, the answer is no, there is nothing to worry about. But that simple answer is usually not enough. What's going on?

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Hello Community !

We are delighted to invite all our customers, partners and community members to participate in the InterSystems Benelux & France Summit 2025! The registration for the Summit 2025 is already open.

This event promises to be an interactive experience highlighting inspiring case studies, technological innovations and roadmaps for the coming year in the fields of healthcare and data platforms. Hands-on demonstrations will also allow you to explore the latest developments in a tangible way.

➡️ InterSystems Benelux & France Summit

🗓 Dates : February 11 - 12, 2025

📍 Place : Hilton Rotterdam | Weena 10 | 3012 CM Rotterdam | Netherlands

Image preview

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Introduction

To achieve optimized AI performance, robust explainability, adaptability, and efficiency in healthcare solutions, InterSystems IRIS serves as the core foundation for a project within the x-rAI multi-agentic framework. This article provides an in-depth look at how InterSystems IRIS empowers the development of a real-time health data analytics platform, enabling advanced analytics and actionable insights. The solution leverages the strengths of InterSystems IRIS, including dynamic SQL, native vector search capabilities, distributed caching (ECP), and FHIR interoperability. This innovative approach directly aligns with the contest themes of "Using Dynamic SQL & Embedded SQL," "GenAI, Vector Search," and "FHIR, EHR," showcasing a practical application of InterSystems IRIS in a critical healthcare context.

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