Article
· Oct 17, 2024 2m read
ORU to MDM with large HL7 v2 messages.

I was working on a DTL but kept getting ERROR #5002... MAXSTRING errors. The problem was that most of the DTL GUI action steps only support the string data type when working with the segments. A %String has a limit of 3,641,144 characters and my OBX5.1 was 5,242,952 characters long as the example provided. Of course PACS admin stated ultra high quality up to and including 4K resolution files were needed, so we could not get the vendor to compress or reformat these files to compressed jpg or something similar.

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Your Mission

Let's pretend for a moment that you're an international action spy who's dedicated your life to keeping the people of the world safe from danger. You recieve the following mission:

Good day, Agent IRIS,

We're sorry for interrupting your vacation in the Bahamas, but we just received word from our London agent that a "time bomb" is set to detonate in a highly populated area in Los Angeles. Our sources say that the "time bomb" is set to trigger at 3:14 PM this afternoon.

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Background:

This guideline provides an overview of how to design and implement a REST API interface for querying patient demographic data from an Electronic Patient Record (EPR) system using HealthConnect. The process involves sending a query request with the patient's identification number, retrieving the response from the EPR system, extracting the required patient demographic data from the HL7 message, and sending it as a JSON response to the supplier. The high-level process diagram is shown below (Screenshot 1).

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Hi Team,

I am converting xml message into HL7 message but the input XML message contains pdf which is converting into base 64 and getting mapped to OBX:5.5 in HL7 message and sending it to downstream

In Downstream service i am using normal HL7 TCP class EnsLib.HL7.Service.TCPService but the message looks like below i am not sure why stream is taking as another segment in HL7 message,

Any thoughts on this?

Thanks,

Smythee

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image

Hi Community,

In this article, I will introduce my application iris-HL7v2Gen .

IRIS-HL7v2Gen is a CSP application that facilitates the dynamic generation of HL7 test messages. This process is essential for testing, debugging, and integrating healthcare data systems. The application allows users to generate a wide variety of HL7 message types, validate their structure against HL7 specifications, explore the message hierarchy, and transmit messages over TCP/IP to production systems. These features are particularly useful in settings where compliance with HL7 standards is mandatory for interoperability between different healthcare organizations or systems.


Application Features

  • Dynamic HL7 Message Generation: Instantly create HL7 messages for a range of message types, facilitating comprehensive testing.
  • Message Structure Exploration: Visualize the structure of generated messages based on HL7 specifications.
  • Value Set Visualization View predefined sets of allowable coded values for specific fields.
  • Message Validation: Validate messages against HL7 standards to ensure compliance.
  • TCP/IP Communication: Easily transmit messages to production using TCP/IP settings.
  • Broad Message Type Support: Supports 184 different HL7 message types, ensuring versatility for various healthcare integration needs.
  • ClassMethod: Generate a Test Message by Invoking a Class Method
  • Version Support: Currently Supports HL7 Version 2.5

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Question
· Nov 26, 2024
HL7 Encoding issue

Dear All,

I have been sent an HL7 message as a file with the MSH segment as follows....

MSH|^~\&|SendingApp|pms3medd|HealthLink|cribrumt|20241121050000|PKI|ORU^R01|01_ASCIItest_2|P|2.3.1||||||UNICODE

I try picking up the file with a "EnsLib.HL7.Service.FileService" business service using a EnsLib.File.InboundAdapter adaptor. The Character set is set to "Native" and the Default Char Encoding to latin 1.

I am seeing the following error:

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Hi

Is there a way to generate an MD5 checksum of a file by performing a checksum against the file's parts? We potentially have to process large files and therefore cannot keep the entire file in memory. From what I understand checksum related logic is typically stateful, allowing file data to be passed through sequentially, however it appears cache script offers only stateless functions offering a simple method of generating a single checksum hash from a single string (or stream), correct me if I'm wrong?

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Hi Community,

In this article, I will introduce my application iris-fhir-bridge

IRIS-FHIR-Bridge is a robust interoperability engine built on InterSystems IRIS for Health, designed to transform healthcare data across multiple formats into FHIR and vice versa. It leverages the InterSystems FHIR Object Model (HS.FHIRModel.R4.*) to enable smooth data standardization and exchange across modern and legacy healthcare systems.

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We are receiving the report in text format and it has special characters like ', - like that in the text. Source system is using the UTF8 encoding format hence the text is showing as ' � ' . Is there a way to convert the utf8 to actual character in the DTL.

Thank you,

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Hello,

is it possible to kill/suppress hl7 message in the DTL (data transformation).

in cloverleaf, it is common practice to check the value in message, for example pv1:7.9. if the value is certain word(assigning authority) then send the message over to destination, if it is not, kill the message

how would this be done in InterSystems ? does that need to be done in the rule instead? or can it be done in the data transformation? if it can be done in data transformation, how can it be done?

Thanks

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Hi everyone,

I'm looking for a tool that can be used as a base to create an interface that allows a non-technical user to easily forward messages.

The idea is that the user can find an already sent HL7 message and forward it by modifying specific fields of the message without needing any technical knowledge.

An example would be something similar to the Ensemble search engine, but with a less technical and much more intuitive approach and that only allows changing 1 or 2 fields.

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I'm working on FHIR project and using this code to convert an incoming request to FHIR

Method OnRequest(request As HS.FHIRServer.Interop.Request, Output response As HS.FHIRServer.Interop.Response) As %Status

{

#dim tSC As %Status = $$$OK

Try {

// Process incoming request

set stream = ##class(HS.SDA3.QuickStream).%OpenId(request.QuickStreamId)

set bundle = ##class(HS.FHIR.DTL.vR4.Model.Resource.Bundle).FromJSON(stream,"vR4")

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Throughout the forum, I find examples of using the method getSegmentByIndex to get the segment as I loop through the HL7 message segments.

Today I spent way too long trying to figure out why I could not modify the segment with this same method. I reached out to my more experienced team and I showed where I got the base code from what I was doing, but I myself could not find the documentation of the method.

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High-Performance Message Searching in Health Connect

The Problem

Have you ever tried to do a search in Message Viewer on a busy interface and had the query time out? This can become quite a problem as the amount of data increases. For context, the instance of Health Connect I am working with does roughly 155 million Message Headers per day with 21 day message retention. To try and help with search performance, we extended the built-in SearchTable with commonly used fields in hopes that indexing these fields would result in faster query times. Despite this, we still couldn't get some of these queries to finish at all.

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I have been trying to track down an issue we are seeing in our TEST environment with Memory usage.

We have Several BP's for years now that take a HL7 message, parse it apart, and make calls to a Custom EnsLib.SQL.OutboundAdapter to have it execute Insert/Select/Update/Delete stored procedures against a MS SQL Database via JDBC connection. We are using Microsoft's JDBC 12.2 driver to do this.

What we are seeing is that IRIS.WorkQueue globals are being defined for these calls but then the IRIS.WorkQueue is not being cleaned up and taking up large amounts of Memory.

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