HL7 International

It's like the difference between Polaroid photos and a real-time conversation.

That HL7 is a snapshot of data at that moment in time.

But APIs and to be able to have interaction with my data all the time, and not just the pharmacy management system, but I'm talking about any software in general, right? And so I think that's really the main thing.

When we talk about workflow, you talk about where AI could be used.

It needs to have a secure infrastructure, a secure protocol for communicating between different stakeholders.

And if you are communicating with external systems, you need to follow FHIR or HL7 protocols to ensure that it is safe, it is following the best practices.

And on top of that, here at PureLux, we also follow WCH security protocol, again, which is Web Content Accessibility Guidelines.

And specifically when we are working with the AI and we try to have AI governance, we follow NIST framework as well on top of that.

The sector is not a stranger to open.

HL7 version 2 is technically an open standard, and it runs an enormous share of the world's clinical interfaces.

But implementation turned every integration into a bespoke consulting engagement.

FER was the do-over.

We have Angelo, who's co-founder and chief architect of VerifyMedCodes.

He's a healthcare integration architect with 13 plus years experience across Epic, FHIR, HL7, Identity, and Clinical AI.

And he's delivered production CDS hooks and FHIR for value-based care and led ambient AI documentation rollouts across 33,000 providers.

He designed the VerifyMedCode's deterministic PHI-safe coding engine.

content.

And they had painstakingly put in all this content to generate these flashcards on specific topics around HL7 standards or decision support or biostats or whatever the topics were.

Today, the language models can do that for you.

They can create flashcards directly from the clinical practice guidelines or materials you upload.