(or if we like the relationships LOINC has for LA codes, then remove the duplication the other way round (making the SNOMED term non-standard).
(this is a problem with LOINC SNOMED sub-optimal coordination; well, the values should be in license free GPS subset of SNOMED and than LOINC can freely use them in copyleft manner)
Weâve been thinking about mappings between LOINC parts and SNOMED attributes, but LOINC Answers were kind of out of the scope.
But I am agree, this catching of all the permutations of the same values is really annoying. Unfortunately, this fix will not resolve the other type of variability (please see below). So the reality is that in every other study we need to look into the data anyway.
BTW, does every ETL implies a standard practice to remap (through the concept_relationship) the non-Standard concepts that lies in the âvalueâ area?
We can help the network a lot by making one of the terms non-standard. We need to reach a decision at some point. CDM group seems to be focused on producing table overviews - so not sure if we can bring it up at their next meeting.
I think it would help a lot to stick to our axiom of non-duplication (for standard terms) for this problem. Would CDM workgroup consider discussing this or how Vocab changes are voted upon officially.
OK. The proposal is a good first step. From the PPT file, I am not able to decipher all the info but having a relationship that somehow restricts the permissible values would be good.
E.g., result negative could not be answer for Blood type (only A, B, AB, and 0 would be)
Here is an example of poor data quality (plausibility)
blood group+rh factor should have only values like A+,A-,AB+,AB-,etcâŚ
Only those would be linked as âhas-standard-answerâ
In reality, we see a mess.
Including: normal, just negative or just A
The mantra is: quantitative lab tests have some plausible ranges, qualitative lab tests have some plausible values. The rest is flagged as âless plausible/desiredâ and if there is too much of less plausible data - DQD or Heel lets the research know !.