[noonanibus]

Forgive me if I'm mistaken, but isn't this exactly what the FHIR standard is meant to address? Not only does it enable global inter-health communication using a standardized resource, but it's already adopted in several national health services, including (but not broadly), America. Is this not simply a reimplementation, but without the broad iterations of HL7?

[nradov]

Right, it would make more sense to use HL7 FHIR (possibly along with CQL) as a starting point instead of reinventing the wheel. Talk to the CodeX accelerator about writing an Implementation Guide in this area. The PlanDefinition resource type should be a good fit for modeling cancer guidelines.

https://codex.hl7.org/

https://www.hl7.org/fhir/plandefinition.html

[joshuakelly]

This is the comment I was looking for.

You would aim to use CQL expressions inside of a PlanDefinition, in my estimate. This is exactly what AHRQ's, part of HHS, CDS Connect project aims to create / has created. They publish freely accessible computable decision support artifacts here: https://cds.ahrq.gov/cdsconnect/repository

When they are fully computable, they are FHIR PlanDefinitions (+ other resources like Questionnaire, etc) and CQL.

Here's an example of a fully executable Alcohol Use Disorder Identification Test: https://cds.ahrq.gov/cdsconnect/artifact/alcohol-screening-u...

There's so much other infrastructure around the EHR here to understand (and take advantage of). I think there's a big opportunity in proving that multimodal LLM can reliably generate these artifacts from other sources. It's not the LLM actually being a decision support tool itself (though that may well be promising), but rather the ability to generate standardized CDS artifacts in a highly scalable, repeatable way.

Happy to talk to anyone about any of these ideas - I started exactly where OP was.