In healthcare,interoperability is the ability of different information technology systems and software applications to communicate, exchange data, and use the information that has been exchanged.
Learn about the InterSystems IRIS FHIR Server, the fully managed FHIR data solution that empowers FHIR application developers to focus on building life-changing healthcare applications:
I'm always on the lookout for tools that make the development and testing of my interfaces more efficient. A couple of years ago I came across HL7 Spy, from Inner Harbour Software. It quickly became my go-to tool for running message comparison reports for interface engine migrations, message statistics gathering, and troubleshooting message receipt and delivery. It also offered enhanced functionality for things like fetching messages via sftp that other tools don't provide.
I've recently been working with HL7 Spy's author, Jon Reis, to enable support for fetching messages directly from the Ensemble message store. Its SQL Loader feature now has native Caché/IRIS support, and I've contributed a small server-side class to support the extraction of messages using it.
Many organisations implement centralised log management systems to separate and centralise the log data in order to e.g. automate threat detection (and response) and to comply with regulatory requirements. The primary systems of interest are the various user facing applications, but increasingly also other kinds of systems including integration platforms.
With rapid evolution of Generative AI, to embrace it and help us improve productivity is a must. Let's discuss and embrace the ideas of how we can leverage Generative AI to improve our routine work.
In the previous article, [What is a Production?], we checked the production contents. We ran the sample code and checked the flowing messages' contents into the production on the Visual Trace page.
In companies, most of the time, we have test, stage and production environments.
It is very common that we, the developers, do not have the right to modify or touch the production directly because all the modifications must be traced in a versioning tool and tested before a production release.
However, a read access to the production (especially to the traces) can allow us to better understand a possible bug.
That's why I propose this ZPM module that creates a new role in IRIS that allows access to the productions and this only in read-only with access to the visual traces.
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I am curious as to why one would use lookup tables, and what would be the best practices regarding them. We have two namespaces, and we would like to use the lookup table in each one. But, there's no clear outline of when to use them, and what are the best ways to use them?
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I created a Custom Business Service to receive a multipart message with a file and I need to save only the file, not all message. How Can I extract only the file from the pInput to save in a File? This is my code:
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I have a production with one Business Host - a Business Service which I need to scale automatically to consume ~80% of CPU time. Business Service pulls data from a (non-FIFO) queue so that I can adjust pool size without any issues.
So far, I'm planning a different BS running every X seconds and sampling CPU with $system.Process.GetCPUTime() and scaling the pool size of the main BS up/down based on that metric.
Has anyone tried something similar? Any advice/code samples would be appreciated.
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Hi All - I want to share with the community a project I recently posted in OpenExchange, that extends on the Business Activity Monitoring features available with InterSystems IRIS’s integration framework.
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