Closed mtomas7 closed 3 years ago
@mtomas7:
Interesting catch. We have spent a good chunk of time (too much, actually) last year figuring out the model and where we take the controlled vocabularies from. The task was to extend the OMOP model to capture the type of information necessary for cancer research. Because there you need to go much deeper: More histology, topology, grading and staging attributes, tumor-specific attributes like biomarkers, etc. The treatments are also more complex than in the rest of medicine (maybe with the exception of things like HIV).
It seems this mCode thing is a mini-OMOP (vitals and comorbidities) plus some oncology-specific thing. But if you look at the data dictionary and the value sets they are limited to ICD10CM, SNOMED and LOINC and we know this is not sufficient. So, this mCode thing seems more like a light-weight model for registries, which is what CancerLinQ is.
I found this initiative interesting:
ASCO’s mCODE seeks to compose lingua franca for cancer informatics: https://cancerletter.com/articles/20190607_1/
Conversation with The Cancer Letter ASCO’s Miller: mCODE will improve downstream analytics with essential cancer data elements https://cancerletter.com/articles/20190607_2/
Perhaps it would be possible to collaborate with them?