Hi Developers,

Join us at the upcoming Developer Roundtable on March 26th at 11 am ET | 4 pm CET. 📍
We will have 2 topics covered by the invited experts and open discussion as always!

Talks:

Demo on Documenting and Testing REST Call's by generating documentation and making scenario's for integration tests - presented by @Danny Wijnschenk , Application Developer, Winfo.
Cypress for web application testing - presented by @Pravin Barton , Senior Applications Developer, InterSystems

Register via >> this Global Masters challenge <<

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Dear,

I'm trying to configure a new interface that reads HL7, transform them into FHIR messages and then send POST or PUT or DELETE depending on HL7 doc type.

1-I added an HL7 TCP service that reads ADTs messages

2a-Send ADTs to a process to transform them into SDA (using the following command: do ##class(HS.Gateway.HL7.HL7ToSDA3).GetSDA(request,.con))

2b-Extract the patient MRN and add it to the AdditionalInfo property (using the following request message class: HS.Message.XMLMessage)

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Hi Community!

As an AI language model, ChatGPT is capable of performing a variety of tasks like language translation, writing songs, answering research questions, and even generating computer code. With its impressive abilities, ChatGPT has quickly become a popular tool for various applications, from chatbots to content creation.
But despite its advanced capabilities, ChatGPT is not able to access your personal data. So we need to build a custom ChatGPT AI by using LangChain Framework:

Below are the steps to build a custom ChatGPT:

  • Step 1: Load the document

  • Step 2: Splitting the document into chunks

  • Step 3: Use Embedding against Chunks Data and convert to vectors

  • Step 4: Save data to the Vector database

  • Step 5: Take data (question) from the user and get the embedding

  • Step 6: Connect to VectorDB and do a semantic search

  • Step 7: Retrieve relevant responses based on user queries and send them to LLM(ChatGPT)

  • Step 8: Get an answer from LLM and send it back to the user

For more details, please Read this article

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Now users can filter the CCR table by multiple conditions for the CCR tables displayed on the home page and the CCR tab of the System Details page.

Previously users were only able to filter the rows by one condition at a time. This made it cumbersome for users to quickly find CCRs that they knew met multiple conditions, as they would have to choose the condition that would produce the least number of results for them to then manually filter through.

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