#InterSystems IRIS

I'd like to share an example on how the new Embedded Python feature in IRIS helped me in my daily routines.

While I’m participating in the iris-kaggle-socrata-generator project with Henrique Dias, I got to unzip datasets from Kaggle in order to import them.

Dear Community Members,

Has someone built some kind of Adapter (or other related components) to interact with Couchbase?

Something sharable?

What connection method did you choose - for example REST API / .Net or Java SDK?

Thanks!

We will receive an ORM message in Business Service in Iris. From that ORM, an ADT^A31 message will be generated and sent out to the EMR before the ORM message is sent out. The ORM message has to wait until Iris receives an acknowledgement from the EMR indicating the ADT message was received. Then, the ORM message will be sent to the EMR. What do I need to set up to hold the ORM message until the acknowledgement is received? 

I've found a couple of methods that will tell me whether a package is mapped from another database, but not which database. Is there such a method/routine?

Have you tried the InterSystems learning platform lab for IRIS IntegratedML? In that lab you can train and test a model on a readmission dataset and be able to predict when a patient will be readmitted or not, or calculate its probability of being readmitted.

You can try it without any installation on your system, all you have to do is start a virtual lab environment (Zeppelin) and play it around!

Hi all,

I am testing asynchronous Bulk Data retrieve with a large EHR vendor. When I retrieve the bulk data, they are returning ndjson (CONTENT-TYPE of "application/fhir+ndjson; charset=utf-8"). If I attempt to process that content using JSON functions - I get

ERROR #5035: General exception Name 'Parsing error' Code '3' Data ''

For example, the following generates the error

s objArray={}.%FromJSON(quickStreamOut)

The error makes sense in that ndjson is not a valid json format (I assume at least).

I think it's a known fact that Populate Utility has very limited functionality. It supports only one language and one country. The list of possible values does not have so many options. 

There is a kind of tool that now can help with it, named Faker. It has implementations in different languages, including Python. Since IRIS has now had the Embedded Python feature, Python faker can be implemented in IRIS.

Can you please provide ORM Sample HL7  for Version 2.8.2?

Also, give me all the HL7 Versions supported list for ORM message type.

It is becoming more and more common to see beautiful badges in the README.MD file with useful information about the current project in the repositories of GitHub, GitLab and others.
For instance:

Hi community,

Prediction is a critical to the Maternal healthcare. The Health Dataset Application (https://openexchange.intersystems.com/package/Health-Dataset) has 10 real health datasets to predict the most important diseases and health problems, including Maternal Risk.

This article detail the steps to predict Maternal Risk using the InterSystems IRIS IntegratedML. This is a technology of InterSystems to do predictions using SQL Commnands! Great!

Follow these steps:

Hey Developers,

Watch as the presenter uses IKO to deploy the WebGateway, SAM, and InterSystems API Manager with the latest version of the InterSystems Kubernetes Operator: 

⏯ IKO: The InterSystems Kubernetes Operator (Version 3.0)

7) You need the right driver

If you want to execute the LOAD DATA sql command you have to choose the driver from 2021.2! If you select the wrong driver and use the LOAD DATA sql command you get something like

Hi Devs!

Recently, I needed to create templates for newsletters.
I couldn't find any tools, so I decided to use the CSP (Caché Server Pages) to build the templates.

Let's figure out how to make a newsletter similar to Weekly OEX Digest.

Weekly OEX Digest

After >40 years writing in-countable lines of code in M*/COS/ISOS (and a bunch of archaic  languages)
I decided for myself to set a strong signal for the future. We have Embedded Python available
(still pre-release)! I just felt it as a sacrilege to ignore this excellent NEW opportunity and
stay with the old sermon that I had used for decades.