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Anúncio
· Ago. 29

[Vidéo] Interopérabilité du DPI, un levier essentiel pour concrétiser l’innovation en milieu hospitalier

#Vídeo #InterSystems IntelliCare

Salut la Communauté!

Profitez de regarder la nouvelle vidéo sur la chaîne Youtube d'InterSystems France :

📺 Interopérabilité du DPI, un levier essentiel pour concrétiser l’innovation en milieu hospitalier

Retour d’expérience de l’Hôpital Américain de Paris et démonstration d'InterSystems IntelliCare, un DPI intégrant l’IA dans les workflows métiers : cas d’usage et méthode.

Intervenants : 
🗣  Félix Mamoudy, Directeur du Parcours Patient et de la Transformation Digitale, Hôpital Américain de Paris
🗣  Nicolas Eiferman, Directeur Général InterSystems France & Benelux
🗣  Dr Hervé Rivière, Directeur Médical InterSystems France

Abonnez-vous à notre chaîne YouTube pour plus de vidéos !

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Resumo
· Ago. 28

今天下午两点，快来加入我们吧 | 以医疗AI枢纽构建智能协同生态：InterSystems IRIS AI 组件注册中心

#InterSystems IRIS for Health

今天下午14:00，我们邀请InterSystems高级销售工程师 @Nicky Zhu （祝麟） 举办题为“以医疗 AI 枢纽构建智能协同生态”的线上研讨会，聚焦 “医疗 AI 枢纽” 建设，以 InterSystems IRIS 为核心，深度解析医疗 AI 面临的核心挑战 —— 从开放数据可用性、研究可及性到部署基础设施瓶颈，结合国际电信联盟（ITU）AI 就绪框架，剖析行业痛点。

👉点击报名

您将在此次分享中了解到：

  • 针对 AI 组件注册中心架构的系统介绍：依托多模型数据存储（ relational+object+K/V+doc+vector ）、FHIR 等行业标准协议，实现院内信息能力的一体化整合，通过能力支撑AI应用。
  • 门诊助手实战案例分享：直观展示如何通过 AI 组件注册中心实现执行规划 Agent、上下文感知 Agent 等工具的协同，降低资源整合成本、提升 AI 能力投放效率。
  • 展望医疗 AI 演进趋势：探讨从对话机器人到网络化应用的转型路径，以及 Agent、工具与流程编织的未来方向。

无论您是医疗信息化从业者、AI 技术开发者还是行业决策者，都能在本次研讨会中获取医疗 AI 落地的实战经验、技术架构设计思路与前沿趋势洞察，助力推动医疗 AI 生态的协同创新。我们期待与您的进一步互动。

1. 留言互动

在会议进行过程中，如果您有任何疑问，或者希望与我们进一步讨论，可以在屏幕上方点击“提问”按钮，提交您的问题，我们会在分享结束后整理问题，并通过邮件向您回复。

2. 有奖调研

参会期间，点击屏幕右上角“有奖调研”完成问卷，将有机会获得定制小礼品。

快来加入我们吧٩(๑>◡<๑)۶ 👉点击报名

Artigo
· Ago. 28 1min de leitura

Convert Python %SYS.Python List to %Library.DynamicArray in Objectscript

#Embedded Python #InterSystems IRIS

As part of a recent documentation technical project to optimize the search, I needed to use Embedded Python in my ObjectScript code. The main blocker was passing a Python list from a Python class method to a ObjectScript method. Sending the list by reference to the python method, populating it with the Insert() method, and returning the reference to the ObjectScript method resulted in an list with type %SYS.Python, a process that was straightforward but not efficient.

I explored an alternative method: converting a Python list to an ObjectScript list using JSON as the intermediary format. This approach appears to require less code and offers improved runtime performance.

 

 

Inside the python code:

list = ["a", "b", "c", "d"]

jsonExport = json.dumps(list)

 

 

Inside the ObjectScript code:

jsonExport = ##class(Example.Case).GetPythonList()

set list = ##class(%DynamicAbstractObject).%FromJSON(jsonExport)

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Pergunta
· Ago. 28

Find In Files fails with WIDE CHAR

#HL7 #Studio #Ensemble #InterSystems IRIS

Studio's Find In Files finds nothing if CLS routines are included. The error is WIDE CHAR. After using ##class(%Studio.Project).FindInFiles programmatically and then ZW after the same error I strongly suspect that CodeWalkopdatecopyopt in EnsLib.InteropTools.HL7.Cloverleaf.Parser.cls  is to blame. I cannot even open this class, unlike other classes from EnsLib.InteropTools.HL7. This error prevents searching even if System Items are excluded and I would peg EnsLib as System. Any remedy besides updating IRIS? Assuming this is fixed in later IRIS versions.

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Anúncio
· Ago. 28

[Demo Video] Autonomous Business intelligent Clerk (ABiC) - Combining InterSystems BI and Generative AI

#Artificial Intelligence (AI) #Generative AI (GenAI) #InterSystems Demo Games #Vídeo #InterSystems IRIS BI (DeepSee)

#InterSystems Demo Games entry

⏯️ Autonomous Business Intelligent Clerk (ABiC) - Combining InterSystems BI and Generative AI

Our Autonomous Business Intelligent Clerk, or ABiC for short, is a prototype revolutionizing how companies process data and make decisions. Normally, to get insights from data, you’d need IT knowledge or expertise in statistics. But with ABiC, that’s no longer necessary. All you have to do is ask your question in plain language. ABiC understands your interests and intentions, then shows a clear dashboard to guide your decisions. With ABiC, complex data is autonomously analyzed and turned into answers that support users, helping to accelerate business processes. This demo sends the metadata of InterSystems BI cubes to LLM. How does it work? Check out the video for more details!

Presenters:
🗣 @Tomo Okuyama, Sales Engineer, InterSystems
🗣 @Nobuyuki Hata, Sales Engineer, InterSystems
🗣 @Tomoko Furuzono, Sales Engineer, InterSystems
🗣 @Mihoko Iijima, Training Sales Engineer, InterSystems

🔗  Check out the related app: ABiC

👉 Like this demo? Support the team by voting for it in the Demo Games!

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