It’s been three years, time for a followup:
I have been unable to identify specific Observation concepts which seem reasonable matches for most of the codes in a data dictionary that I was given to map. I have been exploring the use of a more generic concept, such as 4092647 [Fluid intake] and establishing relationships with fluid categories.
I have not found this approach encouraging, as the listed categories do not correspond to concepts in a standard vocabulary. Even lifting the “Standard” criterion, doesn’t seem to help.
Is there an approach that I am overlooking?
The only resolution that occurs to me is the use of local (Concept ID > 2 billion) concepts, which I am loath to employ, as eventually, this database will become a public resource.
1 Intake - Enteral 4089847 Enteral fluid input
2 Intake - Intravenous: Crystalloids
3 Intake - Intravenous: Colloids
4 Intake - Intravenous: Blood products
5 Intake - Intravenous: Nutritional products
6 Intake - Intravenous: All medication infusions
7 Intake - Other
8 Intake - OR Total Fluid Intake 4092501 Total fluid input
9 Output - Blood
10 Output - Urine 4077088 Volume of urine produced
11 Output - Renal replacement therapy
12 Output - Other
13 Output - OR Total Fluid Out 4090193 Total fluid output