Everytime I try to send a POST FHIR bundle I'm getting the following response: 404 Not Found. I'm not really sure why, although it works fine with a GET!

This is an example:

Response:

It might be something related to request path but not really sure.

And this is the HTTP service I'm using

We are building a data transformation from HL7 to custom XML. We've got an XML schema, and are using virtual documents (EnsLib.EDI.XML.Document).

We can:

Hi Developers!

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Or share your experience with the service in the comments to this post.

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Business Process is adding control characters.

Input HL7 shows no control characters in Notepad ++

Output

Code:

Hi,

How can I query fields by passing them in variable names, eg. I would like to query columns Book & Author fields from eg. the following :

S =var1="Book", var2="Author"

Select var1,var2 from myTables.Books

I tried @var1 or %var1 and didn't work

Thanks

Hi,

I'm using embedded Python as follows:

Hello,
Please, we would need your help 🙂:

In a development environment, we have added quite a few presentation contexts to the DICOM configurations (the associations). We would need to find a way to export them from this environment to make it easier for us to import them in PRO (and avoid doing it by hand one by one).

Hello Community,

I've seen two cached queries are generated while executing a query. So, Why the additional query is generated and what is the use of it.

I am making a FHIR request against Epic, in when I get the Response back using "fromDao" I am extracting the stream into HS.FHIRModel.R4.Patient. However, the patient's name comes back as name within a list that references HS.FHIRModel.R4.SeqOfHumanName.

• How do I extract the name from HS.FHIRModel.R4.SeqOfHumanName?
• Do I have to then do another "fromDao" to pull the list into string format?
• How do I navigate around the lists that are in a FHIRModel response, to extract the string values?

Are you using Jupyter Notebooks with IRIS? Are you using the vscode-iris-jupyter-server VS Code extension for your notebooking? If so, please let me know either via direct message or with a comment on this post. I'd like to hear more about how our customers are working with tool specifically, and with data science more generally.

Thanks!