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Announcement
· Apr 2

[Video] Building Smarter Applications with InterSystems IRIS

Hi Community,

Check out the new video that shows how to easily create solutions using InterSystems IRIS:

📺 Building Smarter Applications with InterSystems IRIS

Watch how InterSystems IRIS simplifies data management for application developers. Traditional architectures require multiple services — databases, analytics engines, and caches — leading to complexity, cost, and fragility. IRIS offers a streamlined, multi-model approach, allowing developers to store and process diverse data types efficiently within a single, high-performance system. With built-in interoperability, high availability, and in-memory caching, developers can focus on application logic while IRIS handles the data. Better performance, lower costs, and faster time to value — all in one platform.

🗣 Presenter: Scott Gnau, Vice President, Head of Data Platforms, InterSystems

Subscribe to InterSystems Developers YouTube to stay up to date!

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Announcement
· Apr 2

Conheça as melhorias e atualizações da versão 2025.1 dos produtos InterSystems IRIS, InterSystems IRIS for Health, and HealthShare Health Connect

Olá Comunidade! 

Animados com as novidades disponibilizadas na versão mais recente dos produtos InterSystems IRIS, InterSystems IRIS for Health, and HealthShare Health Connect ? 

A versão 2025.1 dos produtos está cheia de novidades incluindo melhorias na tela de Configuração da Produção e no Editor DTL.

Saiba mais sobre a experiência aprimorada do usuário para a construção de integrações com os produtos InterSystems®. Aya Heshmat, Product Manager do HealthShare® Health Connect, explica como esses fluxos de trabalho são projetados para melhorar a navegação, fornecer filtragem mais inteligente, otimizar a edição avançada e permitir a integração perfeita do controle de origem.

Assista ao vídeo Building Integrations: A New User Experience e fique por dentro! 


Compartilhe conosco nos comentários suas impressões e feedback! 😉

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InterSystems Official
· Apr 2

Alert: InterSystems IRIS 2024.3 – AIX JSON Parsing Issue & IntegratedML Incompatibilities

Summary of Alerts

Alert ID Product & Versions Affected Explicit Requirements
DP-439207 InterSystems IRIS® data platform 2024.3 (AIX) AIX installations Using JSON processing and Unicode non-Latin-1 character sets
DP-439280 InterSystems IRIS 2024.3 (containers with IntegratedML) IntegratedML Containers using TensorFlow

 

Detail of Alerts

DP-439207 - AIX JSON Unicode Parsing Issue

A bug has been identified in InterSystems IRIS 2024.3.0 on AIX instances that affects the parsing of JSON Unicode strings. The issue arises when either the %FromJSON() or %FromJSONFile() method parses strings that contain characters with values less than $CHAR(256) followed by Unicode characters exceeding $CHAR(255). The conversion process incorrectly transforms the earlier characters into $CHAR(0), leading to silent data corruption. This issue only affects AIX version 2024.3 of the following products:

  • InterSystems IRIS
  • InterSystems IRIS for Health
  • HealthShare® Health Connect

Impact Assessment

  • When this occurs, incorrect characters may be stored in the database or passed to interfaces without triggering errors.
  • The defect was introduced in IRIS 2024.3.0 and has been resolved with DP-439207.
  • Affected Workflows: This issue only occurs on Unicode installations running AIX, affecting applications processing data that contain a mix of ASCII and Unicode characters.

Resolution

  • If you are using InterSystems IRIS 2024.3.0 on AIX instances, then you should upgrade to InterSystems IRIS 2025.1.0 as soon as possible.

Customer Actions Required

  1. Identify Impacted Systems:
    • Determine if you are running InterSystems IRIS 2024.3.0 on an AIX instance with Unicode databases and have a mix of Unicode and non-Unicode characters.
  2. Upgrade Path:
    • Upgrade to InterSystems IRIS 2025.1.0 as soon as possible.

DP-439280 - IntegratedML Container TensorFlow Issues

Customers using either of the following containerized version of IRIS 2024.3 may encounter training errors when leveraging IntegratedML.

containers.intersystems.com/intersystems/iris-ml:2024.3

 

Impact Assessment

  • Customers leveraging IntegratedML on the InterSystems-provided IRIS 2024.3 containers will experience model training failures due to compatibility issues with TensorFlow and related dependencies.

Resolution

  • Customers wishing to use IntegratedML with IRIS or IRIS for Health in containers are encouraged to create your own containers by following the advice published on the Developer Community.

Customer Actions Required

  • To continue using IntegratedML with AutoML, customers must manually manage dependencies using the pip package manager as described above. This ensures compatibility and proper functionality of AutoML components like scikit-learn within your IntegratedML Python environment.

For More Information If you have questions or need assistance, please contact the InterSystems Worldwide Response Center (WRC).

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Announcement
· Apr 2

Recapitulação do InterSystems Developer Community, Março 2025

Olá e bem-vindo ao Recapitulação da comunidade de desenvolvedores Março 2025.
Estatísticas gerais
21 novas postages publicadas em Março:
 9 novos artigos
 10 novos anúncios
 2 novas perguntas
5 novos membros ingressaram em Março
1,328 postagens publicadas ao todo
624 membros ingressaram ao todo
Principais publicações
Principais autores do mês
Artigos
#InterSystems IRIS
 
#IRIS contest
 
#InterSystems IRIS for Health
 
Anúncios
#InterSystems IRIS
 
#InterSystems Oficial
 
#Outro
 
#Developer Community Oficial
Aviso de manutenção planejada
Por Anastasia Dyubaylo
 
#Portal de Aprendizagem
 
Perguntas
#InterSystems IRIS
 
Março, 2025Month at a GlanceInterSystems Developer Community
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Question
· Apr 2

ErrException: <INVALID OREF>zOutputToIOStream+^EnsLib.HL7.Message

Trying to start investigating an error we are seeing with multiple of the same messages getting sent to the same vendor. We receive an HL7 message with an RTF embedded from our EMR, send it through a DTL to just update the Patient Class, and then send it onto the Operation which is TCP.

We are starting to see this error message...

ERROR <Ens>ErrBPTerminated: Terminating BP DocOutRptRouting3M360 # due to error: ERROR <Ens>ErrException: <INVALID OREF>zOutputToIOStream+6^EnsLib.HL7.Message.1 -- logged as '-' number - @''
> ERROR <Ens>ErrException: <INVALID OREF>zOutputToIOStream+6^EnsLib.HL7.Message.1 -- logged as '-' number - @''

which is causing the messages to be sent multiple times through the Operation

when trying to view the HL7 body metadata within the trace viewer we are even seeing

ERROR <Ens>ErrException: <INVALID OREF>zFullSizeGet+3^EnsLib.HL7.Message.1 -- logged as '-' number - @''

I am starting to think this has something to do with the HEAP size and or Max Per-Process Memory which is set at 262 MB per process. Looking at our top memory processes we aren't seeing anything hit this limitation.

My next stop is WRC but thought I would reach out first to see if there was anyone that had an idea of what is going on.

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