#HL7

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Health Level-7 or HL7 refers to a set of international standards for the transfer of clinical and administrative data between software applications used by various healthcare providers

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Introduction

HL7 messages often contain multiple repeating segments such as NTE, AL1, OBX, ZTX, DG1, and others. These segments sometimes require individual processing and routing to different downstream systems. This technical paper introduces a configurable template designed to automate the splitting of these repeating HL7 segments, improving message handling and integration efficiency.

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Is there any way of saving a representation of the results of a query created in the Message Viewer to a file - most obviously CSV.

We are reasonably adept at creating queries. We'd like to be able to send the output to a file, rather than resorting to cut'n'pasting from the message viewer window...

Is this possible? (on any version of Ensemble/Iris?)

Desired output to file something like:

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Our vendor is developing an interface API on their end to capture HL7 data on a Server Port, and they require us to send a pre-defined HL7 Order message for testing every hour until the API is completely operational.

Is it possible to accomplish that in a Business Operation automatically without utilizing a service or process? The BO is a standard TCP/IP connection.

I'm manually sending the message again from the Operations right now. I do not have access to the System Operation to use the Task Manager feature.

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To manage the accumulation of production data, InterSystems IRIS enables users to manage the database size by periodically purging the data. This purge can apply to messages, logs, business processes, and managed alerts.

Please check the documentation for more details on the settings of the purge task:
https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls?KEY=EGMG_purge#EGMG_purge_settings

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Overview

This web interface is designed to facilitate the management of Data Lookup Tables via a user-friendly web page. It is particularly useful when your lookup table values are large, dynamic, and frequently changing. By granting end-users controlled access to this web interface (read, write, and delete permissions limited to this page), they can efficiently manage lookup table data according to their needs.

The data managed through this interface can be seamlessly utilized in HealthConnect rules or data transformations, eliminating the need for constant manual monitoring and management of the lookup tables and thereby saving significant time.

Note:
If the standard Data Lookup Table does not meet your mapping requirements, you can create a custom table and adapt this web interface along with its supporting class with minimal modifications. Sample class code is available upon request.

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