In the previous article we presented the d[IA]gnosis application developed to support the coding of diagnoses in ICD-10. In this article we will see how InterSystems IRIS for Health provides us with the necessary tools for the generation of vectors from the ICD-10 code list using a pre-trained language model, its storage and the subsequent search for similarities on all these generated vectors.

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An effective source control solution allows organizations to manage complex codebases, facilitate seamless collaboration within development teams, and streamline deployment processes.

Sonic Healthcare, a leading provider of pathology, radiology, general practice, and corporate medical services, has significantly enhanced visibility and control over its complex environment by implementing Deltanji source control. The tight integration Deltanji provides with InterSystems IRIS and IRIS for Health has been central in achieving these improvements.

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I found myself in the not-so-comfortable situation of working with a Linux system on which someone had accidentally disabled user access to the Linux shell. HealthConnect was running, servicing hundreds of interfaces. To resolve the access issue, though, we needed to bring the host down for the application of a fix.

Without the shell, the iris command is not available to control the instance, so we were faced with the potential of shutting down the server ungracefully. We wanted to avoid that if possible ...

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Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

  • Step1: Install required libraries

  • Step2: Create patterns and responses file

  • Step3: Train the Model

  • Step4: Create ChatBot Application based on the trained model

So Let us start.

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Article
· Jul 4, 2024 1m read
How to find your imported XSD file

Have you ever imported an XML schema from an XSD file? You might want to look at the original file again sometime later, but forgot where you put it.

Do not worry, that information is being kept as part of the import process.

The whole imported XSD schema is being kept in the ^EnsEDI.XML.Schema global. That global holds all the imported XSDs in your namespace. The first subscript is the name of the schema that you see in the portal.

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In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.

Let's look at each of these steps in more detail.

Setting up an account on Meta

This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.

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Article
· Jun 13, 2024 4m read
How to check the size of your data

InterSystems FAQ rubric

Data for InterSystems products (table row data, object instance data) is stored in global variables.
The data size of each global can be obtained by clicking the properties of the global you want to view from the Management Portal > System > Configuration > Local Database > Globals page, and then clicking the Calculate Size button on the Global Attributes page that appears.
To display the data sizes of globals in a namespace, you can call ^%GSIZE utility on the terminal.

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InterSystems FAQ rubric

If you want to run an OS executable file, command, or a program created within an InterSystems product when the InterSystems product starts, write the processing in the SYSTEM^%ZSTART routine. (The %ZSTART routine is created in the %SYS namespace).

Before you write any code in SYSTEM^%ZSTART, make sure that it works properly under all conditions.

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For some time I have been planning to do some type of proof of concept with the Workflow functionality, which, like so many other functionalities present in IRIS, tends to go quite unnoticed by our clients (and for which I say mea culpa). That's why I decided a few days ago to develop an example of how to configure and exploit this functionality by connecting it with a user interface developed in Angular.

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Data Analysis

This is the sequel to Data Collection. If you have not had a chance to go through and install that you should first do that.

What is provided here is the analysis for the collection of that data that was collected earlier.

In much the same way as was done in that repository you will need to import the xml that makes up this repository.

Starting at the topmost level there is a task:

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Graphical Display of Tables

Here we will document how you can get the results of your Data Collection to be displayed graphically. The output of your project will look like this:

image

Note that I am working on a local machine. If you are doing this on a server then be aware to use the correct IP address.

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Article
· May 30, 2024 1m read
How to avoid ODBC query timeouts

InterSystems FAQ rubric

To disable the timeout, set the query timeout to disabled in the DSN settings:

Windows Control Panel > Administrative Tools > Data Sources (ODBC) > System DSN configuration

If you check Disable query timeout, the timeout will be disabled.

If you want to change it on the application side, you can set it at the ODBC API level.

Set the SQL_ATTR_QUERY_TIMEOUT attribute when calling the ODBC SQLSetStmtAttr function before connecting to the data source.

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ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model as a psychological framework to craft empathetic replies. This article elaborates on the backend architecture and its components, focusing on how InterSystems IRIS supports the system's functionality.

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In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity.

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ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model (Hochbaum, Rosenstock, & Kegels, 1952) as a psychological framework to craft empathetic replies.

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