We are ridiculously good at mastering data. The data is clean, multi-sourced, related and we only publish it with resulting levels of decay that guarantee the data is current. We chose the HL7 Reference Information Model (RIM) to land the data, and enable exchange of the data through Fast Healthcare Interoperability Resources (FHIR®).

We are also a high performing, full stack team, and like to keep our operational resources on task, so managing the underlying infrastructure to host the FHIR® data repository for purposes of ingestion and consumption is not in the cards for us.

Hi Community,

The InterSystems Learning Website has many important iterative courses.

This article suggests to you some patterns to create REST API applications using IRIS.

Note: source code in https://github.com/yurimarx/movie

Class Pattern to the REST Application

To begin, see my suggestion for classes needed to create IRIS API applications:

• IRISRESTApplication: CSP.REST class that will be the central controller for all REST requests and responses processed by the business services.
• BusinessService: class with a business topic implementation. It can use one or more Persistent Domain Classes to persist and query data required by the business topic requirements.

Easy, easy, I'm not promoting a war against the machines in the best sci-fi way to avoid world domination of Ultron or Skynet. Not yet, not yet 🤔

I invite you to challenge the machines through the creation of a very simple game using ObjectScript with embedded Python.

I have to say that I got super excited with the feature of Embedded Python on InterSystems IRIS, it's incredible the bunch of possibilities that opens to create fantastic apps.

Let's build a tic tac toe, the rules are quite simple and I believe that everyone knows how to play.

If you develop in IRIS you are confronted with two major phenomena:

• an incredibly fast and excellent designed data storage engine
• a scripting language to work on this storage engine, actually named ObjectScript 

I was looking at the thread of messages on the topic of "Performance when constructing a comma-separated string", and I started writing a response but got distracted, the page refreshed, and I lost my text. I couldn't spend the time rewriting my response, so I started writing this document instead.

I started writing MUMPS at the beginning of my career. I wrote very tight and dense code blocks where exercises such as the string example were authentic challenges.

Talking with a friend of mine, Machine Learning specialist @Renato Banzai, he brought one of the biggest challenges faced by companies nowadays: deploying ML/AI in live environments.

Some time ago GitHub, has announced the new feature, GitHub Codespaces. It gives an ability to run VSCode in the browser, with almost the same power as it would run locally on your machine, but also with a power of clouds, so, you are able to choose the machine type with up to 32 CPU cores and 64 GB of RAM.

Looks impressive, is not it? But how it could help us, to work with projects driven by InterSystems IRIS? Let's have a look, how to configure it for us.

Healthcare interoperability is instrumental in improving patient care, decreasing healthcare provider costs, and providing a more accurate picture to providers. However, with so many different systems, data is formatted in many different ways. There are many standards that have been created to try to solve this problem, including HL7v2, HL7v3, and CDA but each one has its drawbacks.

FHIR, or Fast Healthcare Interoperability Resources, is a new format for healthcare data that aims at solving these problems.

Hi community,

I'm going to publish several articles on how to perform actions that you can do in the web portal but via code.

Today.... Web Applications via code

Continuing the description of work on the use of the openhl python module in productive mode.

Since the version of iris with Embedded Python, does not yet have a final release, it is already necessary to use it in production now. We decided to back up the service for exporting requests to a xlsx file on a separate server, and save the query result in a global in a separate database.

This database was made networked, local for the service server and remote for the product server. The communication between the prod server and the service was implemented using a rest service.

I have been working on redesigning a Health Connect production which runs on a mirrored instance of Healthshare 2019. We were told to take advantage of containers. We got to work on IRIS 2020.1 and split the database part from the Interoperability part. We had the IRIS mirror running on EC2 instances and used containers to run IRIS interoperability application. Eventually we decided to run the data tier in containers as well. Later we switched from using EC2 instances to Fargate “server-less” compute.

Over the years, I have found myself needing to create multiple HL7 messages based on a single inbound message. Usually these take the form of an order or result from a lab. Each time I have approached it, I have tried to start from scratch under the belief that the previous attempt could have been done better.

Recently, the need arose again and I was able to create a solution that I wasn't ashamed of. My main concern was that I would always either find myself getting buried in a BPL, or use ObjectScript and attempt to edit messages using the SetValueAt Method for the HL7 Message Class.

I heard about Message Bank when we started redesigning a Health Connect production to run in containers in the cloud. Since there will be multiple IRIS containers, we were directed to utilize Message Bank as one place to view messages and logs from all containers.

How does Message Bank work?

I added Message Bank operation to our Interoperability Production. It automatically sends messages and event logs to the Message Bank.

Resending Messages

The Message Bank provides an interface for portal user to resend messages from the Message Bank portal.