In this article, we'd like to describe Med.me's incubation experience and takeaways, the cross-organizational booking problem, and our approach to solving it.

This exciting story started during one of the regular medtech meetups, where I met @Evgeny Shvarov, senior InterSystems chief of the Developer Community. Following the good old startup rule “pitch wherever you can”, I briefly explained to Evgeny Med.me concept – EHR exchange and appointment scheduling platform to automate and simplify communication between clinics, pharma on one hand and insurance companies, doctors, and patients on the other.

Evgeny listened carefully and replied that InterSystems provides plenty of products to solve the interoperability problems amongst the vast variety of EMRs and kindly advised me to hurry up to apply to the FHIR incubator Caelestinus powered by InterSystems.

That led to a start of an amazing 9-months long road where we were able to ramp up our understanding of interoperability, participate at the InterSystems Global Summit, find new customers and partners, and where the new concept of Resource Availability Exchange was born.

Ensemble is based on message flow, and a data transformation is a way to convert from one message type to another. DTL (Data Transformation Language) adds a layer to this - it provides a graphical way to do the conversion. This is really helpful because most of the time, people with domain-specific knowledge may not have extensive coding skills. However, you always have the ability to do some coding, so if you need or want to, this is available.

DTL has several components: the data transformation engine, the language itself, and the DTL editor.

Ever noticed that the Type column of the Web Applications page in the Security section of Management Portal is showing you redundant information?

How to create an ODBC connection on your native Windows laptop to IRIS running on a Windows VM on the same computer, test the connection, and pull data from IRIS into Excel.

As of this morning, 38 companies had already grabbed a copy of Ensemble or Caché (Caché is more popular by about 3:1 ratio) to explore the new features of 2016.2.

Thanks - we look forward to hearing your feedback.

Here in %SYS, we have already examined users, resources, and roles. Now that we know how to set all of that up, we should give it a purpose. Next we will talk about applications! As you may expect, we will see various identical class methods defined here that we have seen in the previous classes. However, some of them will have some tiny yet significant differences.

Before this project, I built zpm packages almost by hand. I edited the module.xml file, inserted resources into it and copied the resources to disk, then checked the correctness of the assembly. I was tired of it and I decided to make this work easier for myself.

I've been working for some days in the connectivity between NodeJS client applications and IRIS as server using web sockets.

You can get all the information in relation to the web socket connections using IRIS as a client or as a server from this URL: https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls...

One of the most common kinds of integration we are asked to do is emailing. One of the most typical email services our customers use is Microsoft’s Office 365. After setting up the right configuration on the Microsoft side, we can email from IRIS with two HTTP requests.

In a customer project I was asked how you can keep track of database changes: Who changed what at which date and time. Goal was to track insert, update and delete for both SQL and object access.

This is the table that I created to keep the Change Log:

IRIS 2023.3.0 ASQ

Abstract Set Query, ASQ, is a super set of JSON Path Language, JPL, which was first introduced by the 2016 ISO SQL Standard. JPL is only defined within the context of SQL. In 2023.3, we introduced classes that implement ASQ. It works on any implementation of %Library.AbstractSet. The complete syntax for ASQ will be documented later. This is just a quick introduction to a few of its features. This implementation comes with a nice utility as well. You will know it when you see it!

There are still so many syntax highlighting errors in Atelier, which still exists from first beta public release.

Abstract

A global provider of mobile telecommunications software tested the performance of InterSystems Caché and Oracle as the database in a simulated data mart application. They found Caché to be 41% faster than Oracle at building a data mart. When testing the response time to SQL queries of the data mart, Caché's performance ranged from 1.8 times to 513 times faster than Oracle.

Introduction