HealthShare

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Hello!

This article is a small overview of a tool that helps to understand classes and their structure inside the InterSystems products: from IRIS to Caché, Ensemble, HealthShare.

In short, it visualizes a class or an entire package, shows the relations between classes and provides all the possible information to developers and team leads without making them go to Studio and examine the code there.

If you are learning InterSystems products, reviewing projects a lot or just interested in something new in InterSystems Technology solutions — you are more than welcome to read the overview of ObjectScript Class Explorer!

Last comment 19 July 2019
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There are often questions surrounding the ideal Apache HTTPD Web Server configuration for HealthShare.  The contents of this article will outline the initial recommended web server configuration for any HealthShare product. 

As a starting point, Apache HTTPD version 2.4.x (64-bit) is recommended.  Earlier versions such as 2.2.x are available, however version 2.2 is not recommended for performance and scalability of HealthShare.

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Enterprises need to grow and manage their global computing infrastructures rapidly and efficiently while simultaneously optimizing and managing capital costs and expenses. Amazon Web Services (AWS) and Elastic Compute Cloud (EC2) computing and storage services meet the needs of the most demanding Caché based application by providing
 a highly robust global computing infrastructure.

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GraphQL is a standard for declaring data structures and methods of data access that serves as a middleware layer between the client and the server. If you’ve never heard about GraphQL, here is a couple of useful online resources: here, here and here.

In this article, I will tell you how you can use GraphQL in your projects based on InterSystems technologies.

Last comment 1 October 2019
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++Update: August 2, 2018

This article provides a reference architecture as a sample for providing robust performing and highly available applications based on InterSystems Technologies that are applicable to Caché, Ensemble, HealthShare, TrakCare, and associated embedded technologies such as DeepSee, iKnow, Zen and Zen Mojo.

Azure has two different deployment models for creating and working with resources: Azure Classic and Azure Resource Manager. The information detailed in this article is based on the Azure Resource Manager model (ARM).

Last comment 8 July 2016
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I wanted to share a little tidbit which is in the Studio documentation (http://docs.intersystems.com/cache20152/csp/docbook/DocBook.UI.Page.cls?...) but many people who have been using the InterSystems Studio for a long time missed the addition of this *very* useful feature, and every time I mention this to an audience  I see at least one face light up because of how excited they are to learn about it!

Within Studio, the Output pane (View -> Output) is actually misnamed.  It is actually an Input/Output window which can be used to run Caché ObjectScript commands!  

Last comment 5 September 2017
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HealthShare uses a lot of XSLTs. These are used to convert IHE medical documents to SDA (internal HealthShare format) and back to IHE formats, to create summary reports, and to deal with IHE profiles (e.g., patient information query, document provide and register). Customers may customize the XSLTs to customize reports or for other reasons.

For debugging and development, it is very convenient to be able to run an XSLT from Terminal.

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Creating and working with the new SDA extensions for storage of custom data elements

 

In HSCore 15.01, there is a new way to store custom data elements.  HealthShare now had the ability to use custom extensions on many SDA elements.

This article will:

  1. Show how to set up your system to use SDA extensions
  2. Create a new SDA extension property
  3. Use the new SDA extension property in HL7 transactions
  4. Interact with the new data
  5. Show new SDA extension used in a customization of Patient Summary Report
 
  

Last comment 12 August 2016
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Enterprise Monitor is a component of Ensemble and can help organizations monitor multiple productions running on different namespaces within the same instance or namespaces running on multiple instances.

Documentation can be found at:

http://docs.intersystems.com/ens20161/csp/docbook/DocBook.UI.Page.cls?KEY=EMONITOR_all#EMONITOR_enterprise

In Ensemble 2016.1 there were changes made to make this utility work with HealthShare environments.

This article will:

  • Show how to set up Enterprise Monitor for HealthShare sites
  • Show some features of Enterprise Monitor
  • Show some features of Enterprise Message Viewer

For this article, I used the following version of HealthShare:

Cache for Windows (x86-64) 2016.1 (Build 656U) Fri Mar 11 2016 17:42:42 EST [HealthShare Modules:Core:14.02.2415 + Linkage Engine:14.02.2415 + Patient Index:14.02.2415 + Clinical Viewer:14.02.2415 + Active Analytics:14.02.2415]

Last comment 26 August 2016
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In this posting I want to raise the profile of a feature that arrived in 2009.1 but is perhaps not very well known.

It is sometimes useful to make certain packages, globals or routines available to all of your namespaces. Of course you can add the necessary mappings whenever you create a new namespace, but here's a simpler way.

Last comment 16 March 2017
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For Global Summit 2016, I set out to showcase a Reference Architecture I had been working on for a National Provider Directory solution with State Level Instances and a National Instance all running HealthShare Provider Directory and all running on AWS Infrastructure.

In short, I wanted to highlight:

  • The implementation of Amazon Web Services to provision the infrastructure, including the auto-creation of the state level instances through Cloud Formation.
  • The use of the HSPD Broadcast functionality to Notify Upstream Systems Changes in Master Provider Data.
  • The implementation of a transformation of the standard Broadcast Object to HL7 MFN for interoperability.
  • The principals of Master Data Management applied to the Provider Directory.

Last comment 30 August 2018
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I've asked a lot of questions leading up to this, so I wanted to share some of my progress.

The blue line represents the number of messages processed.  The background color represents the average response time.  You can see ticks for each hour (and bigger ticks for each day).   Hovering over any point in the graph will show you the numbers for that period in time.

This is super useful for "at a glance" performance monitoring as well as establishing patterns in our utilization.

Last comment 4 November 2016
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1. Scope and Objective:

 

Recently we supported a few NHS cases that required TIE (Trust Integration Engine) integration with the PKB service.   Hence this article is meant to be a 10-minute quick guide to describe a demo solution (simple configurations and end-2-end implementation steps) for Health Connect (Ensemble) Integration with PKB (Patient-Knows-Best) service.

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Amongst the large fonts and chunky icons of Portal's pages, the Menu button in the top left corner is easily overlooked:

When clicked, it often produces the following menu:

When I remember it's there, I find the "View Console Log" option particularly handy.

I wrote "often" above because I've also noticed that the Menu contents change when I'm on a page within the Ensemble section of Portal:

Last comment 14 February 2017
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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
Last comment 5 September 2018
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Continuing on with providing some examples of various storage technologies and their performance profiles, this time we looked at the growing trend of leveraging internal commodity-based server storage, specifically the new HPE Cloudline 3150 Gen10 AMD processor-based single socket servers with two 3.2TB Samsung  PM1725a NVMe drives.  

Last comment 29 October 2018
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Keywords:  Anaconda, Jupyter Notebook, Tensorflow GPU, Deep Learning,  Python 3 and HealthShare    

1. Purpose and Objectives

This "Part I" is a quick record on how to set up a "simple" but popular deep learning demo environment step-by-step with a Python 3 binding to a HealthShare 2017.2.1 instance .  I used a Win10 laptop at hand, but the approach works the same on MacOS and Linux.

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If your application is raising <PROTECT> errors and you're finding it hard to work out why, here's a way to get additional information.

First, if auditing is not already enabled, turn it on:

Then use "Configure System Events" (highlighted above) and locate the event named %System/%Security/Protect. In the screenshot below I used the Filter field to do this (type "protect" - highlighted below - and press TAB):

Last comment 24 April 2017
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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

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Until recently I didn't pay much attention to Portal's home page:

If it's not showing when you initially launch Portal you can easily jump to it using the button / tab at the top of the left-hand column of options. And later during your session, get there via the Home link that will be visible at the top of every page.

On the Home page the "Recent" section is automatically maintained for you.

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Often InterSystems technology architect team is asked about recommended storage arrays or storage technologies.  To provide this information to a wider audience as reference, a new series is started to provide some of the results we have encountered with various storage technologies.  As a general recommendation, all-flash storage is highly recommended with all InterSystems products to provide the lowest latency and predictable IOPS capabilities.

The first in the series was the most recently tested Netapp AFF A300 storage array.  This is middle-tier type storage array with several higher models above it.  This specific A300 model is capable of supporting a minimal configuration of only a few drives to hundreds of drives per HA pair, and also capable of being clustered with multiple controller pairs for tens of PB's of disk capacity and hundreds of thousands of IOPS or higher. 

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Last week I was onsite with a new customer of ours, implementing Deltanji to give them control of their development and deployment cycle. One particularly satisfying part of the visit was seeing their pleasure at how their production class now records its changes over time, allowing them to quickly diff the versions and see what configuration items have been added or what settings altered. ​

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1. Purpose

This is a 10-minute simple step-by-step guide on how to quickly set up various flavors of HealthShare docker containers from scratch on a Win10 laptop. 

For example, we can build a couple of  HealthShare "global edition vs UK Edition" demos as shown below.  

There are a couple of frequently asked questions from HealthShare colleagues and partners:

Last comment 13 September 2019
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