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Artigo
· Maio 30 2min de leitura
Open Exchange

Introducing LEAD North's CCD Data Profiling Tool

#Analisador #Importação e Exportação de Dados #HL7 #Interoperabilidade #Open Source #HealthShare #InterSystems IRIS #InterSystems IRIS for Health #Health Connect #Open Exchange

Profiling CCD Documents with LEAD North’s CCD Data Profiler
Ever opened a CCD and been greeted by a wall of tangled XML? You’re not alone. Despite being a core format for clinical data exchange, CCD's are notoriously dense, verbose, and unfriendly to the human eye. For developers and analysts trying to validate their structure or extract meaningful insights, navigating these documents can feel more like archaeology than engineering.


Introducing the CCD Data Profiler
LEAD North’s CCD Data Profiler is a full-stack tool built with Intersystems' technology that streamlines the import, parsing, validation, and export of CCD data. Tailored for healthcare developers and data analysts, it offers an end-to-end solution for quality assurance, data completeness checks, and interoperability validation.
Key Features

  • Flexible Import Options: Upload local CCD files or pull documents directly from the document repository with customizable section selection before each run.
  • Configurable Profiling: Choose exactly which CCD sections to profile (e.g., Allergies, Medications, Problems) through the import settings module on the home page.
  • Interactive Reports: The Reports page displays all of the data found within your documents! Expand any section to drill into individual field values and identify missing elements, which are greyed out for quick visual inspection.
  • Spreadsheet Export & De-identification: Export results to a spreadsheet with user-selected sections and optional de-identification of PHI fields (note: this assists but does not guarantee complete PHI removal).
  • Dynamic XSLT Management: On the Configuration page, edit and test XSLT snippets in-browser. Modify XPath expressions on the fly and preview the extraction output against sample CCDs!

Installation & Setup
The profiler supports both manual deployment and package installation. For complete instructions, see the GitHub repository: https://github.com/LEADNorthLLC/External-CCDProfiler
 

Licensing
The CCD Data Profiler is open source and provided as-is under the MIT License.

 

NOTE: This application isn't supported by InterSystems Corporation. To contact LEAD North, a strategic implementation partner of InterSystems, please visit our website at www.leadnorthllc.com.

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InterSystems Oficial
· Maio 30

IKO 3.8 Release

#Kubernetes #InterSystems Oficial

InterSystems Kubernetes Operator (IKO) 3.8 is now Generally Available.  IKO 3.8 adds new functionality along with numerous bug fixes and security updates.  Highlights include:

  • Compute Groups allows you to deploy more than one type of compute node to handle different types of workloads in a single IrisCluster
  • Consolidate Volumes – you can now choose to deploy with fewer volumes, such as consolidating data and WIJ on the same volume.

 

Follow the Installation Guide for guidance on how to download, install, and get started with IKO.  The complete IKO 3.8 documentation gives you more information about IKO and using it with InterSystems IRIS and InterSystems IRIS for Health.  IKO can be downloaded from the WRC download page (search for Kubernetes).  The container is available from the InterSystems Container Registry.

IKO simplifies working with InterSystems IRIS or InterSystems IRIS for Health in Kubernetes by providing an easy-to-use irisCluster resource definition. See the documentation for a full list of features, including easy sharding, mirroring, and configuration of ECP.

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Pergunta
· Maio 30

Production Validator - Case Study

#HealthShare #Caché #Ensemble #Health Connect #InterSystems IRIS

We're planning to use Production Validator for validating our system upgrade (2016.2.3 to 2024.2) , and we are trying to understand what kind of benchmarking or performance metrics others have observed during similar efforts.

Specifically, we are looking for a case study or real-world example that includes details like:

  • How many messages were validated?
  • How long did it take to create the temporary database from the source system?
  • How long did it take to run the comparison on the destination system?

If anyone has done this recently and can share some stats or lessons learned, that would be super helpful!

Thanks in advance!

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Pergunta
· Maio 30

Azure OpenAI %Embedding.Config

#Vector Search #InterSystems IRIS

Hi all!

I want to create an %Embedding.Config to use with an %Embedding property. I followed the documentation for %Embedding.OpenAI, and it works fine after setting sslConfig, modelName, and apiKey.

However, I need to use AzureOpenAI. While the embedding process is similar to OpenAI's, Azure requires additional connection parameters, like an endpoint.
My question is: is it possible to configure these extra parameters with %Embedding.Config, and if so, how?

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