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· Avr 24, 2023 5m de lecture

開発者向けウェビナー：アーカイブビデオ一覧

#Webinaire #InterSystems IRIS #InterSystems IRIS for Health

開発者の皆さん、こんにちは！

過去に開催した開発者向けウェビナー　アーカイブビデオのまとめページを作成しました。

今後もウェビナーを開催していきますのでこのページを★ブックマーク★していただけると嬉しいですlaugh

プレイリストはこちら👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxB39_H2QMMEG_EsNEFc0ASz

2025年開催分：

✅ウェビナー

2024年開催分：

✅ウェビナー

 

2023年開催分：

✅ウェビナー

✅ InterSystems 医療 x IT セミナー アプリケーション開発編2

 

 

2022年開催分：

    ✅ InterSystems 医療 x IT セミナー アプリケーション開発編1

    ✅モダンホスピタルショウ

    ✅ InterSystems Japan Virtual Summit 2022：プレイリストはこちら👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxAGImHt9sB0n-e7IlHvfcOu

    ✅その他

     

    2021年開催分：ウェビナー

    ✅ウェビナー（1月）

    ✅ウェビナー（10月）：プレイリストはこちら👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxBlWFxRfrrrScerJrpo7xjr

     

    2021年開催分：InterSystems Japan Virtual Summit 2021

    ✅開発：プレイリスト👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxAE7EpPq8npD_LFwMRvFRBI

    ✅HL7 FHIRによるインターオペラビリティ：プレイリスト👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxD6pgXvPtS92UeElPq2cDac

    ✅運用・管理：プレイリスト👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxDTIXYG_iwJczwzJbtSM8DF

    ✅マイグレーション：プレイリスト👉https://www.youtube.com/playlist?list=PLzSN_5VbNaxCYZuzDKN5miU0KlTSDlW1Z

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    Annonce
    · Avr 19, 2023

    持续火热报名中：欢迎参加InterSystems 中国技术培训认证

    #Communauté des développeurs officielle

    为支持医疗信息行业人才发展，InterSystems 为中国市场量身定制了贴近需求、灵活、实操性强的技术认证培训计划，由 InterSystems 资深技术专家亲自授课，帮助用户快速掌握 InterSystems 技术，确保用户从快速发展的 InterSystems 技术中获益，以更好地服务于医院信息化建设。点击此处查看课程详情：InterSystems中国技术培训认证

    您的最佳学习路径

     

    为什么要参加 InterSystems 技术认证培训？

    • InterSystems 数据平台技术已成为国内医疗信息化领域的主流技术之一，支持全国数百家大型公立医院核心系统长期稳定运行 20 余年；
    • 专为中国技术用户量身定制，具有贴近需求、灵活、实操性强等特点；
    • InterSystems 资深技术专家亲自授课，帮助用户快速掌握 InterSystems 技术及最佳实践；
    • InterSystems 官方技术认证培训具备更高权威性，可以助力用户更好地运用 InterSystems 技术，并从快速发展的 InterSystems 技术中获益，保持技术先进性。

    哪些用户可以参加认证培训？

    凡使用 InterSystems 技术或对 InterSystems 技术感兴趣的IT从业人员或机构均可参加。

    您可以从技术认证培训中获得哪些技能和成长？
    • 与时俱进的课程更新，理论与实践相结合的学习方式，可以帮助您持续提升对 InterSystems 技术的掌握；
    • 参与 InterSystems 的分级培训计划，考核通过即可获得认证证书；
    • 通过线下课程与活动，拓展技术人脉。
    InterSystems 中国的认证培训讲师团成员是哪些？

    InterSystems 中国资深工程师团队授课。

    报名方式及开课时间是如何安排的？

    报名人数满 5 人即开班，每季度一次，培训方式为线下培训，考试内容含书面测试与上机实践。课程收费请咨询您的 InterSystems 客户经理。医院及医疗信息化企业推荐以机构方式参与培训。

    如需报名或咨询更多详情，请联系您的 InterSystems 客户经理，或通过以下方式与 InterSystems 中国团队联系：

    电话：400-601-9890

    邮件：GCDPsales@InterSystems.com

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    Article
    · Avr 18, 2023 2m de lecture
    Open Exchange

    AI generated text detection using IntegratedML

    #ChatGPT #Generative AI (GenAI) #IntegratedML #Open Exchange

    In recent years, artificial intelligence technologies for text generation have developed significantly. For example, text generation models based on neural networks can produce texts that are almost indistinguishable from texts written by humans.
    ChatGPT is one such service. It is a huge neural network trained on a large number of texts, which can generate texts on various topics and be matched to a given context. 

    A new task for people is to develop ways to recognize texts written not only by people but also by artificial intelligence (AI). This is because, in recent years, neural network-based text generation models have become capable of producing texts that are almost indistinguishable from texts written by humans.

    There are two main methods for AI-written text recognition:

    • Use machine learning algorithms to analyze the statistical characteristics of the text;
    • Use cryptographic methods that can help determine the authorship of the text

    In general, the task of AI text recognition is difficult but important.

    I am happy to present an application for the recognition of the texts generated by AI. During development, I took the benefits of InterSystems Cloud SQL and Integrated ML, which include:

    • Fast and efficient data requests with high performance and speed;
    • User-friendly interface for non-experts in databases and machine learning;
    • Scalability and flexibility to quickly adjust ML models according to requirements;

    In the development and further training of the model, I used an open dataset, namely 35 thousand written texts. Half of the texts were written by hand by a large number of authors, and the other half was generated by AI with ChatGPT.

    Configuration used for GPT model:

    model="text-curie-001"
temperature=0.7
max_tokens=300
top_p=1
frequency_penalty=0.4
presence_penalty=0.1

    Next, about 20 basic parameters were determined, according to which further training was carried out. Here are some of the options I used:

    • Characters count
    • Words count
    • Average word length
    • Sentences count
    • Average sentence length
    • Unique words count
    • Stop words count
    • Unique words ratio
    • Punctuations count
    • Punctuations ratio
    • Questions count
    • Exclamations count
    • Digitals count
    • Capital letters count
    • Repeat words count
    • Unique bigrams count
    • Unique trigrams count
    • Unique fourgrams count

    As a result, I got a simple application that you can use for your tasks or just have fun.

    This is what it looks like:

    imageTo try the application you can use online demo or run it locally with your own Cloud SQL account. 

    Also, this application participates in the contest. If you like it, vote for it.

    Welcome to the comments to discuss this app if you were interested.
     

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    Article
    · Avr 16, 2023 4m de lecture
    Open Exchange

    Tuples ahead

    #API #Embedded Python #ObjectScript #Python #InterSystems IRIS #InterSystems IRIS for Health

    Overview

    Cross-Skilling from IRIS objectScript to Python it becomes clear there are some fascinating differences in syntax.

    One of these areas was how Python returns Tuples from a method with automatic unpacking.

    Effectively this presents as a method that returns multiple values. What an awesome invention :)

    out1, out2 = some_function(in1, in2)

    ObjectScript has an alternative approach with ByRef and Output parameters.

    Do ##class(some_class).SomeMethod(.inAndOut1, in2, .out2)

    Where:

    • inAndOut1 is ByRef
    • out2 is Output

    The leading dot (".") in front of the variable name passes ByRef and for Output.

    The purpose of this article is to describe how the community PyHelper utility has been enhanced to give a pythonic way to take advantage of ByRef and Output parameters. Gives access to %objlasterror and has an approach for Python None type handling.
     

      Example ByRef

      Normal invocation for embedded python would be:

      oHL7=iris.cls("EnsLib.HL7.Message")._OpenId('er12345')

      When this method fails to open, variable "oHL7" is an empty string.
      In the signature of this method there is a status parameter that is available to object script that gives an explanation of the exact problem.
      For example:

      • The record may not exist
      • The record couldn't be opened in default exclusive concurrency mode ("1"), within timeout
      ClassMethod %OpenId(id As %String = "", concurrency As %Integer = -1, ByRef sc As %Status = {$$$OK}) As %ObjectHandle

      The TupleOut method can assist returning the value of argument sc, back to a python context.
       

      > oHL7,tsc=iris.cls("alwo.PyHelper").TupleOut("EnsLib.HL7.Message","%OpenId",['sc'],1,'er145999', 0)
> oHL7
''
> iris.cls("%SYSTEM.Status").DisplayError(tsc)
ERROR #5809: Object to Load not found, class 'EnsLib.HL7.Message', ID 'er145999'1
```

      The list ['sc'] contains a single item in this case. It can return multiple ByRef values, and in the order specified. Which is useful to automatically unpack to the intended python variables.

      Example Output parameter handling

      Python code:

      > oHL7=iris.cls("EnsLib.HL7.Message")._OpenId('145')
> oHL7.GetValueAt('<%MSH:9.1')
''

      The returned string is empty but is this because the element is actually empty OR because something went wrong.
      In object script there is also an output status parameter (pStatus) that can be accessed to determine this condition.

      Object script code:

      > write oHL7.GetValueAt("<%MSH:9.1",,.pStatus)
''
> Do $System.Status.DisplayError(pStatus)
ERROR <Ens>ErrGeneral: No segment found at path '<%MSH'

      With TupleOut the equivalent functionality can be attained by returning and unpacking both the method return value AND the status output parameter.

      Python code:

      > hl7=iris.cls("EnsLib.HL7.Message")._OpenId(145,0)
> val, status = iris.cls("alwo.PyHelper").TupleOut(hl7,"GetValueAt",['pStatus'],1,"<&$BadMSH:9.1")
> val==''
True
> iris.cls("%SYSTEM.Status").IsError(status)
1
> iris.cls("%SYSTEM.Status").DisplayError(status)
ERROR <Ens>ErrGeneral: No segment found at path '<&$BadMSH'1


      Special variable %objlasterror

      In objectscript there is access to percent variables across method scope.
      There are scenarios where detecting or accessing special variable %objlasterror is useful after calling a CORE or third party API
      The TupleOut method allows access to %objlasterror, as though it has been defined as an Output parameter, when invoking methods from Python

      > del _objlasterror

> out,_objlasterror=iris.cls("alwo.PyHelper").TupleOut("EnsLib.HL7.Message","%OpenId",['%objlasterror'],1,'er145999', 0) 

> iris.cls("%SYSTEM.Status").DisplayError(_objlasterror)
ERROR #5809: Object to Load not found, class 'EnsLib.HL7.Message', ID 'er145999'1

      When None is not a String

      TupleOut handles python None references as objectscript undefined. This allows parameters to default and methods behave consistently.
      This is significant for example with %Persistent::%OnNew where the %OnNew method is not triggered when None is supplied for initvalue, but would be triggered if an empty string was supplied.

      In objectscript the implementation might say: 

      do oHL7.myMethod("val1",,,"val2")

      Note the lack of variables between commas.

      TupleOut facilitates the same behavior with:

      Python:

      iris.cls("alwo.PyHelper").TupleOut(oHL7,"myMethod",[],0,"val1",None,None,"val2")

      Another way to consider this, is being able to have one line implementation of invocation code, that behaves flexibly depending on pre-setup of variables:

      Object Script:

      set arg1="val1"
kill arg2
kill arg3
set arg4="val2"
do oHL7.myMethod(.arg1, .arg2, .arg3, .arg4)

      TupleOut facilitates the same behavior with:

      Python:

      arg1="val1"
arg2=None
arg3=None
arg4="val2"
iris.cls("alwo.PyHelper").TupleOut(oHL7,"myMethod",[],0,arg1,arg2,arg3,arg4)

      List and Dictionaries

      When handling parameters for input, ByRef and Output, TupleOut utilizes PyHelper automatic mapping between:
      IRIS Lists and Python Lists
      IRIS Arrays and Python Arrays
      Where it takes care to always use strings to represent dictionary keys when moving from IRIS Arrays to Python Dict types.

      Conclusion

      Hope this article helps inspire new ideas and discussion for embedded Python ideas and suggestions.

      Hope also it gives encouragement to explore the flexibility for how IRIS can easily bend to meet new challenges.

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      Article
      · Avr 13, 2023 8m de lecture

      What you always wanted to know about InterSystems IRIS but were afraid to ask :)

      #InterSystems IRIS

      What is InterSystems IRIS?

      InterSystems IRIS is a high-performance data platform designed for developing and deploying mission-critical applications. It is a unified data platform that combines transaction processing, analytics, and machine learning in a single product.

      InterSystems IRIS provides a comprehensive set of data management and development tools that enable developers to build, integrate, and deploy applications with ease. It supports a wide range of data models, including relational, object-oriented, hierarchical, and document-based models, and provides a powerful set of APIs for accessing data.

      InterSystems IRIS is used in a variety of industries, including healthcare, finance, logistics, and more, to power critical applications such as electronic health records, financial trading systems, and supply chain management platforms. It is known for its scalability, reliability, and ease of use, and is used by some of the world's largest organizations to manage their most important data-driven applications.

      What type of database is InterSystems IRIS?

      InterSystems IRIS is a multi-model database, which means that it supports multiple data models including relational, object-oriented, and document-based models. It is designed to be highly flexible and adaptable, allowing developers to choose the data model that best fits their application's requirements.

      InterSystems IRIS supports standard SQL for relational data management, and it also provides advanced indexing capabilities and query optimization to improve performance. In addition, it supports NoSQL document-oriented data storage, allowing developers to work with unstructured and semi-structured data. The object-oriented data model in InterSystems IRIS allows developers to work with complex data structures and build object-oriented applications.

      The multi-model architecture of InterSystems IRIS provides developers with the flexibility to work with different types of data in a single database, simplifying application development and management. This makes it a popular choice for building high-performance, data-driven applications in a variety of industries.

      What is the InterSystems IRIS database?

      InterSystems IRIS is a high-performance database management system (DBMS) that is designed to handle a wide variety of data management tasks. It is developed by InterSystems Corporation, a software company that specializes in providing data management, interoperability, and analytics solutions to businesses and organizations around the world.

      InterSystems IRIS is a powerful and flexible database platform that can handle both structured and unstructured data, and can be used for a variety of applications, including transaction processing, analytics, and machine learning. It provides a rich set of features and tools for managing data, including support for SQL, object-oriented data modeling, multi-dimensional data analysis, and integrated development and deployment tools.

      One of the key features of InterSystems IRIS is its ability to handle large amounts of data with high performance and scalability. It uses advanced caching and indexing techniques to optimize data access, and can be configured to work with a wide range of hardware configurations and operating systems.

      InterSystems IRIS also includes advanced security features, such as role-based access control, encryption, and auditing, to ensure the confidentiality, integrity, and availability of data.

      Overall, InterSystems IRIS is a powerful and flexible database platform that can help businesses and organizations manage their data more effectively and efficiently.

      What is InterSystems IRIS HealthShare?

      InterSystems IRIS HealthShare is a healthcare-specific platform that builds on top of InterSystems IRIS database and integration engine to provide a comprehensive solution for healthcare organizations. It is designed to enable healthcare organizations to securely and efficiently share patient data across different systems and applications, while also providing advanced analytics and insights to improve patient care.

      InterSystems IRIS HealthShare includes a wide range of features and tools, including:

      1. Health Information Exchange (HIE) capabilities that enable healthcare organizations to securely exchange patient data across different systems and providers.
      2. Master Patient Index (MPI) functionality that ensures accurate patient identification and record matching, even in the face of incomplete or inconsistent data.
      3. Clinical Viewer and Patient Portal that enable patients and clinicians to view and interact with patient data in a secure and intuitive way.
      4. Analytics and Business Intelligence tools that enable healthcare organizations to analyze patient data and identify patterns and trends that can improve patient outcomes and drive operational efficiencies.
      5. Interoperability capabilities that enable healthcare organizations to connect to and exchange data with a wide range of external systems and devices.

      Overall, InterSystems IRIS HealthShare is a powerful and flexible platform that can help healthcare organizations improve the quality of patient care while also reducing costs and improving operational efficiency.

      How is InterSystems IRIS data stored?

      InterSystems IRIS stores data using a hierarchical, multi-dimensional data model. Each element of it is called a Global. A Global is a persistent, hierarchical data structure that can be thought of as a collection of nodes that are organized into a tree-like structure. Each node in the tree is identified by a unique path, which is formed by concatenating a series of labels, separated by caret (^) characters.

      A Global can store a wide variety of data types, including strings, numbers, and binary data, and can be accessed using a variety of programming languages and APIs, including SQL, object-oriented programming, and Web services.

      InterSystems IRIS also provides a flexible and scalable indexing system that enables efficient retrieval of data from Globals. The indexing system allows developers to define custom indexes on specific attributes of the data, which can be used to quickly retrieve subsets of data that meet specific criteria.

      In addition to Globals, InterSystems IRIS also supports other data storage mechanisms, including relational tables, multidimensional arrays, and JSON documents. Relational tables are based on the SQL standard and provide a structured, tabular way to store data. Multidimensional arrays are used to store data that is organized into matrices or cubes, while JSON documents are used to store unstructured or semi-structured data.

      Overall, InterSystems IRIS provides a flexible and powerful data storage system that can handle a wide variety of data types and data models, making it well-suited for a wide range of applications and use cases.

      Is InterSystems IRIS a programming language?

      InterSystems IRIS is not a programming language itself, but it provides support for a variety of programming languages and APIs. Some of the programming languages that are supported by InterSystems IRIS include:

      1. ObjectScript: InterSystems' proprietary programming language, which is used for developing applications that run on the InterSystems IRIS platform.
      2. SQL: InterSystems IRIS provides full support for the SQL programming language, which can be used to interact with relational data stored in InterSystems IRIS.
      3. Java and .NET: InterSystems IRIS provides support for both the Java and .NET programming languages, which can be used to develop applications that interact with InterSystems IRIS.
      4. REST and SOAP APIs: InterSystems IRIS provides support for both RESTful and SOAP-based APIs, which can be used to develop Web services that interact with InterSystems IRIS.
      5. Node.js: InterSystems IRIS also provides support for Node.js, a popular JavaScript runtime environment, which can be used to develop server-side applications that interact with InterSystems IRIS.
      6. Python: InteSystems provides support for Python programming language, which can be used as one of the languages to develop applications that run on the InterSystems IRIS platform and as an API.

      Overall, while InterSystems IRIS is not a programming language in and of itself, it provides a wide range of tools and APIs that enable developers to build and deploy applications using a variety of programming languages and frameworks.

      Which model is best for InterSystems IRIS data?

      InterSystems IRIS supports a variety of data models, including hierarchical, relational, multidimensional, and document-based (JSON). The best model for your specific use case will depend on a variety of factors, including the nature of the data, the types of queries and analysis you need to perform, and the overall architecture of your application. Here are some general guidelines for choosing the best data model for your InterSystems IRIS implementation:

      1. Hierarchical Model: If your data has a hierarchical structure, such as patient records in a healthcare application or parts and subassemblies in a manufacturing system, a hierarchical model may be the best choice. Hierarchical models are optimized for fast traversal of tree-like structures and can provide excellent performance for certain types of queries and updates.
      2. Relational Model: If your data is highly structured and requires complex queries or joins, a relational model may be the best choice. Relational databases are well-suited for handling large amounts of structured data and provide powerful querying and reporting capabilities.
      3. Multidimensional Model: If your data is organized into matrices or cubes, such as financial data or scientific data, a multidimensional model may be the best choice. Multidimensional databases are optimized for fast querying and analysis of complex data structures.
      4. Document-Based Model: If your data is unstructured or semi-structured, such as social media posts or log files, a document-based model may be the best choice. Document databases are optimized for storing and querying unstructured data and can provide excellent performance for certain types of queries.

      What is InterSystems IRIS famous for?

      InterSystems IRIS is famous for several reasons, including:

      1. High Performance: InterSystems IRIS is known for its high performance and scalability, making it a popular choice for data-intensive applications that require fast and reliable data access.
      2. Integration Capabilities: InterSystems IRIS provides powerful integration capabilities, allowing it to connect to and exchange data with a wide range of external systems and applications. This makes it an ideal choice for organizations that need to integrate data from multiple sources or build complex data-driven applications.
      3. Flexibility: InterSystems IRIS supports a wide range of data models, programming languages, and APIs, giving developers the flexibility to choose the tools and approaches that work best for their specific needs.
      4. Healthcare Focus: InterSystems IRIS is widely used in the healthcare industry, where it is known for its powerful clinical data management capabilities and support for industry-standard data exchange formats.
      5. Developer Community: InterSystems has a large and active developer community, which provides support, resources, and best practices for building and deploying applications using InterSystems IRIS.

      Overall, InterSystems IRIS has earned a reputation as a powerful and flexible data management platform that can support a wide range of use cases and industries, making it a popular choice for organizations around the world.

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