Attendees

Presentation slides

Recording

From Chat

Andrea Pitkus 12:03 PM
Good morning/afternoon!

Samantha Spencer (CAP) 12:26 PM
FYI and following up on Scott's comments, the CAP intends to publish the UIDs (Unique Identifiers/ C-keys) and associated SNOMED CT mapping for public access on the CAP website within the next year.

Andrea Pitkus 12:27 PM
Have/Will they be submitted to ISA as a valueset for cancer pathology?

Samantha Spencer (CAP) 12:30 PM
It's being considered for USCDI+ Cancer, I don't think we've discussed ISA

John Snyder (NLM) 12:29 PM
Is there any SNOMED US Extension content that should be inactivated as either erroneous or outdated as part of this work?

ON CALL ANSWER: Nothing new was built in US Extension - carcinoma and neoplasma got disentangled, that might have to be looked at.

ARe there any observables created for this project that will be back ported to LOINC as part of the LOINC/SNOMED extension

ON CALL ANSWER: when LOINC wants to work on this, yes

Samantha Spencer (CAP) 12:37 PM
Scott - how does the SNOMED CT content - Blue Book alignment intersect with Cancer PathCHART activities - one and the same or just related?

ON CALL ANSWER: lost connection with ICDO3/4 - we need to translate clinical domain knolwedge (SCT) in to epi domain

Keith.Campbell@fda.hhs.gov 12:44 PM
We need to integrate terminologies better :-)

Keith.Campbell@fda.hhs.gov 12:49 PM
We'll clone Scott's experience, and the next domains will get easier...

Samantha Spencer (CAP) 12:51 PM
I need to point out that the maintenance and upkeep of this is also not non-trivial, and requires coordinated consistent resources, SME expertise, and effort.

Andrea Pitkus 12:52 PM
Thanks, Sam. Concur maintenance is not trivial, but important from patient care and interoperability perspectives

Keith.Campbell@fda.hhs.gov 12:55 PM
Upkeep lessons for the Value Set Authority Center...

Samantha Spencer (CAP) 12:56 PM
A lot of similar themes discussed at recent National Cancer Policy Forum Workshop - https://www.nationalacademies.org/event/41759_01-2024_enabling-21st-century-applications-for-cancer-surveillance-through-enhanced-registries-and-beyond-a-workshop

Andrea Pitkus 12:56 PM
_Sandy. Reducing burden on all is an important point too
Also why fax is desired due to time/effort/interface costs

I like the highlight of the Q& A pairs too and how the meaning is taking both together. Many developers like to focus on results and not content/meaning in orders as others have highlighted too.

Notes

Clinical trials use MEDRA - SCT is more granular - how can data meaningfully be aggregated to better match?

SCT modeling is granular, but the design of SCT accommodates aggregation - we would need to look at the needs of MEDRA

We should look at data mining techinques to look at if we are loosing information via aggregation.

For different use cases we need different levels of granularities - for patient diagnosis need the most granular.

Are there other areas of medicine where we can do this - and will it take this long?

The 10 year project was an international project, included getting pathologist to agree on problems and building the network of SMEs and also had limited resources (only Scott as modeler) and all was a volunteer effort! - can learn from this how to scale this to a leam working on this.

Will CAP request new SCT content, when new clinical content is needed?

Basic May be new stains / markers to look for - and we need to find solution for the genomics aspects

New SNOMED WG under Dr. DeBacca will be kick of end of August 2024 for ongoing maintenance - also need to make the LOINC translations are available, if HTI-2 requires LOINC for Lab data and pathology is part of lab data.

It is great to see this be implemented and be able to do the search - having SNOMED CT modeling for the CAP CPs, which are versioned, but the SCT concepts represents what each of concept means.

Getting discrete data elements out of the pdfs is very important, so if we can do then at creation of the content, that is better.

For cancer registries this is HUGE - takes away the need to “crawl” through narrative.

But the usabiity of the EHR-s by the clinician is often lamented (they don't like the drop down list selection)