Hi - I am trying to count distinct patient ids based on a subset of data. My beast calculation is shown below. To explain further, I am in need of the unique patients who are first in the initial group (have at least 1 record with one of the indicated procedure codes), and then, of those patients, how many also have a record with this procedure code 0521F. I can easily get a count of the unique patients for each independently. I just can't get it to work with the dependency. The calculation below indicates it's valid, but gives me a processing error. I've tried adjusting without success.
Is there a way to do this without having to use ETL? It is a huge dataset, so, I'm hoping there is an alternative way. Thanks so much!
( Case when left(`PROCEDURECODE`,5) in ('77427', '99201', '99202','99203', '99204', '99205', '99211', '99212', '99213', '99214', '99215','99241', '99242', '99243', '99244', '99245') then
case when left(`PROCEDURECODE`,5) = '0521F' then `PATIENTID`
I don't believe this is possible via beastmode. I have heard rumors of being able to add aggregate fields to a filter, but that is not yet in the product so I think you will need to make these changes in a dataflow.