You may have already heard that, starting with IRIS and HealthShare HealthConnect 2023.2 versions, the internal Apache Server will be removed from the default installation, so it will be necessary to have an external application server such as Apache Server or NGINX.


In this article I am going to proceed to install a HealthShare HealthConnect 2023.1 so that it works with a pre-installed Apache Server. For this I will use a virtual machine on which I have installed an Ubuntu 22.04.

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According to Databricks Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk. Apache Parquet is designed to be a common interchange format for both batch and interactive workloads. It is similar to other columnar-storage file formats available in Hadoop, namely RCFile and ORC. (source: https://www.databricks.com/glossary/what-is-parquet).

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Hello again everyone.

In our previous article we saw how to configure our EMPI to receive FHIR messages. To do this we installed the FHIR Adapter that InterSystems made available to us that configured a REST endpoint to which we could send our FHIR message. We would then get the message and transform it to a %String that we would send via TCP to the output of our EMPI configured in our HSPIDATA namespace.

Alright, it's time to see how we retrieve the message, transform it back to a %DynamicObject and parse it to the class used by the EMPI to store the information.

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Article
· Aug 31, 2023 5m read
PDF Compression Using Ghostscript

Introduction.

Have you ever felt like your PDF files take up too much space on your server? As you collect more and more of these files, you might run into storage issues that can be costly to solve. But what if there was a way to shrink the size of these PDFs by 50% to 70% without compromising the document's visual clarity.

Today, we're going to explore a solution for this problem that I really like: GhostScript.

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In this article, I am demonstrating how to create a table column(formerly known as properties) with your custom datatype classes by using User defined DDL. Properties are the crucial member of the persistent class definition. Datatypes are essential to define types of values that are stored in a table column. In general, the datatype names of SQL different from Intersystems datatypes, such as VARCHAR = %String.

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As we said yesterday... our EMPI can receive data from multiple sources, REST, HL7 messaging, etc. But it is possible that the standard fields are not enough and we want to expand the patient information to help discriminate and uniquely identify them. How could we customize patient data? Modifying the standard classes to our liking? NOOOOO!!!! Well, a little yes, but not like crazy, because if we modify standard classes carelessly we may find that in a future update we lose all these modifications.

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