I’m not deeply knowledgeable about the LOINC terminology. So, I’m unsure which option will fulfill or break our use case.
We want to make it easier for researchers to identify concepts of interest. Wildcard, string text searches are the enemy of efficiency and accuracy. Enemy is a strong word, but the bane of existence for the analyst helping the researcher further define an attribute of interest. Which option allows for finding all ‘serum cholesterol’ Measurements? Can we do that with Concept Ancestor? Or, per the GitHub issue #517 linked above, maybe we find all ‘cholesterol’ Measurements and then filter by the system from which it was collected? Were the substance and system data added per Anna’s suggestion?
Also, what does this mean?