Hey everyone!

I had looked around a bit and couldn't find a native way to log queue counts in Ensemble/HealthShare so I wrote a quick task and persistent class to do it. Hope this saves someone a bit of time. Let me know your thoughts! Thanks!

Bobby Hanna

Below is a simple alert processor based on the EnsLib.HTTP.OutboundAdapter to send text alerts via an SMS Gateway service. Typically, all that is needed to send an HTTP Post to the gateway service is the destination phone number, a source phone number, credentials, and the URL.

The code below is based on the Anveo gateway whose interface is as follows:

This is more for my memory that anything else but I thought I'd share it because it often comes up in comments, but is not in the InterSystems documentation.

There is a wonderful utility called ^REDEBUG that increases the level of logging going into mgr\cconsole.log.

You activate it by

a) start terminal/login

b) zn "%SYS"

c) do ^REDEBUG

1. Blockchain

As I am writing this article, Bitcoin costs less than one-fifth of what it used to be at the pinnacle of its success. So when I start telling someone about my blockchain experience, the first thing I hear is undisguised skepticism: "who needs this blockchain stuff now anyway?"

That's right, the blockchain hype has waned. However, the technologies it is based on are here to stay and will continue being used in particular areas.The Internet in general offer tons of materials describing the general usage of these technologies

Not everyone knows that InterSystems Caché has a built-in tool for code profiling called Caché Monitor.

Its main purpose (obviously) is the collection of statistics for programs running in Caché. It can provide statistics by program, as well as detailed Line-by-Line statistics for each program.

Using Caché Monitor

Let’s take a look at a potential use case for Caché Monitor and its key features. So, in order to start the profiler, you need to go to the terminal and switch to the namespace that you want to monitor, then launch the %SYS.MONLBL system routine:

EnsLib.HL7.Message.cls provides many API methods for manipulating an HL7 message. RemoveSegmentAt(), for example, can be used to remove a segment by path or index, but only one segment at a time. There may be times that you'll need to remove all segments within a group or even many groups of segments from the HL7 message. Surely you can iterate through each segment in each group and remove them one by one, but there's a much easier way.

With just one command, like below, you can remove all OBX segments in an ORU_R01 message (msg):

I already talked about GraphQL and the ways of using it in this article. Now I am going to tell you about the tasks I was facing and the results that I managed to achieve in the process of implementing GraphQL for InterSystems platforms.

What this article is about

• Generation of an AST for a GraphQL request and its validation
• Generation of documentation
• Generation of a response in the JSON format

Two fairly common requests we receive from HL7 customers are (1) how to remove all trailing delimiters for fields and segments in HL7 messages and (2) how to "find and replace" for an entire HL7 message (as opposed to one segment/field at a time). The code sample below shows a custom function that solves for item 1 and by extension item 2 above. In other words the same approach can be used for finding/replacing any sequence of chars in an entire HL7 message, with some tweaks to the custom function.

"Telegram" is a well-known instant messenger, which provides an API for creating bots. The features of this API allow you to create bots with a wide range of functionality including receiving payments.
With the help of the telegram bot, I solved a simple task - sending Alerts from Ensemble to Telegram.

Advantages: Alerts come to the mobile phone, a notification appears, so there is no need to install any additional applications (in contrast to the solution https://community.intersystems.com/post/sending-alerts-mobile-phone-using-pushover- httpoutboundadapter).

The bot can be extended by adding new commands, for example, for managing the Production or for solving other tasks in Iris, Ensemble or Cache.

This is a sample Ensemble/Health Connect production which demonstrates how to receive an HL7 order (ORM) inbound from a file, extract fields (in this case, basic demographic information), and insert those into a table in an external SQL database via ODBC.

Included in the zip file:

• Exported code
• Sample ORM message
• 'How to configure' doc

I'm pleased to see this in the documentation of the just-published 2017.1 Field Test of Ensemble:

"In certain circumstances, it is useful to create namespaces that are not enabled for Ensemble. In this release you can do this by clearing the Make this an Ensemble namespace checkbox when creating a new namespace. "

Windows 7 and some other Microsoft Operating Systems can shutdown too fast for large applications, such as a Cache instance with a large amount of data and changes, to close gracefully.

Using the CSP Page Statistics

Application Performance Management

Introduction

A key part of Application Performance Management (APM) is recording the activity and performance of user activity. For many web applications the closest you can get to this is to record the CSP pages or CSP based services being dispatched.

Preface

Before we begin, I'd like to mention that I am by no means an Ensemble expert, so take this with a grain of salt and please feel free to offer any suggestions for improvement. That being said, I have enjoyed working with Ensemble and wanted to share the approach I took to poll an external REST API for patient data in the hopes that it might help others with a similar goal.