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· May 13 2m read
Reviews on Open Exchange - #43

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.

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Hello developers,

Our project was designed to optimize patient clinical outcomes by reducing hospitalization time and supporting the development of resident and novice physicians. Additionally, it contributes to lowering financial waste in the healthcare system by improving the monitoring of pregnant patients, thereby decreasing risks and enhancing their safety.

Using the most accessible tool, the smartphone, was the obvious choice to make patients' lives easier.

https://www.youtube.com/embed/OL3kdE-JL4c?si=HV6kopsNGJLCVSdl
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Open Exchange app
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Hi,

I have a spring-boot Java application which has Quartz Scheduler (spring-boot-quartz-starter) dependency, and uses IRIS DB.
There is a problem with making Quartz Scheduler work with IRIS since there is a blob field expected in two tables, but IRIS is using longvarbinary type.
Can you provide me with clues on how to resolve this?

I am using org.quartz.impl.jdbcjobstore.StdJDBCDelegate driverDelegateClass.

This is the error:
MisfireHandler: Error handling misfires: Couldn't retrieve trigger: invalid stream header: 41434544

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I would dearly love to avoid manually creating a SEF or XSD file to get the X12 832 (4010) schema into IRIS, but I have been hard pressed to find either downloadable resources or commercial options. The typical recommendation, edi-dev, seems to just do tooling that will help create SEF files, but no longer sells actual SEF files.

Anybody got any good resources that might have these schema files?

Thanks for any help!

Cordially,

Jonathan

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Hi,

I have succesfully installed IRIS client on MacOS (see end of this post). What's next? How do I access the menu to launch IRIS Client, access Studio, and connect to remote server etc??

Thanks,

W

-----------------------------------------------------------------------------

$$> sudo sh /Users/xxx/Downloads/HealthConnect-2023.1.3.517.0-macx64/irisinstall_client

Password:

Your system type is 'Mac OS X/x86/64-bit'.

Enter a destination directory for client components.

Directory: /Users/xxx/InterSystems/Iris_Client

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Hi Community,

Here is a brief walkthrough on the capabilities of IRIS AI Studio platform. It covers one complete flow from loading data into IRIS DB as vector embeddings and retrieving information through 4 different channels (search, chat, recommender and similarity). In the latest release, added docker support for local installation and live version to explore.

https://www.youtube.com/embed/X1gzz3Qs2dw
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Open Exchange app
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DNA Similarity and Classification was developed as a REST API utilizing InterSystems Vector Search technology to investigate genetic similarities and efficiently classify DNA sequences. This is an application that utilizes artificial intelligence techniques, such as machine learning, enhanced by vector search capabilities, to classify genetic families and identify known similar DNAs from an unknown input DNA.

Open Exchange app
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Hi Team,

I am trying to use the inbuilt class: EnsLib.HL7.Service.FileService to pass through an HL7 ADT message as a part of an HL7 to FHIR transformation. We have a client requirement, where we are receiving an NTE segment as a part of the ADT message. I am trying to map the NTE segment to an OBX Segment. I need to implement a counter for OBX segment whenever a NTE segment is found and map the NTE fields to the new OBX segment

How do I implement the counter for OBX?

Thanks

Santosh

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The introduction of InterSystems' "Vector Search" marks a paradigm shift in data processing. This cutting-edge technology employs an embedding model to transform unstructured data, such as text, into structured vectors, resulting in significantly enhanced search capabilities. Inspired by this breakthrough, we've developed a specialized search engine tailored to companies.

Open Exchange app
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