Hi GPC-DEV, PCORnet, OMOP colleagues (I have met recently), and the i2b2 
community,
Nathan Graham, Jiaxi Quan, Tamara McMahon, and I are looking over the data that 
we’re now getting from Surescripts into Epic here at KUMC.

They turned on the feature here in the Spring and now we have 14.6 million 
events on 184,000 patients since May of 2014.

As we look at the data,
3.4 million were marked as fills, 5.9 million as claims, and 5.3 million were 
null.

In our data, nothing links back to a parent order in Epic.

We’re initially thinking of tagging these facts with a modifier.

“SureScripts Dispensed”
with then 3 sub-modifiers:
“SureScripts Dispensed (Claim)"
“SureScripts Dispensed (Fill)"
“SureScripts Dispensed (Unknown)”

(Note:I want to loop back with folks at Epic/Surescripts regarding what null 
means).

PCORnetCDM

We looked at the PCORnet CDM to see if there were any fields we need to load in 
CDM 2 or 3 related to attribution and CDM3 PRESCRIBING table has


RX_BASIS

RDBMS Text(2)

SAS Char(2)

01=Dispensing
02=Administration
NI=No information
UN=Unknown
OT=Other

Basis of the medication order

PCORnet


But that really doesn’t let you know if the source of the info was a fill or a 
claim.

I know the SCILHS people are mapping to CDM 3 now
https://github.com/hms-dbmi/i2b2-to-PCORNET-CDM

but don’t seem to see any source modifiers for i2b2 in SCILHS that cover how 
they are loading the PRESCRIBING.RX_BASIS field

Jim Campbell in GPC had noted that the RX_BASIS field in the PCORnet CDM was 
inconsistent with the guidance on most EHR dispensing records.

OMOP

Now when we look at OMOP v5
https://github.com/OHDSI/CommonDataModel/blob/master/OMOP%20CDM%20v5.pdf

It looks like they code the source of the med in a Drug_exposure table using 
the drug_type_concept_id

drug_type_concept_id Yes integer A foreign key to the predefined concept 
identifier
in the Standardized Vocabularies reflecting the
type of drug exposure recorded. It indicates how
the drug exposure was represented in the source
data: as medication history, filled prescriptions, etc.

But, I couldn’t easily find a standard vocabulary used by OMOP that would 
specify the types of dispense record.  I searched  http://omop.org/VocabV4.5 
for “fill” and didn’t find anything.  It seemed to mainly hold ATC and RxNorm 
which to my knowledge don’t specify the terminology to attributing fill versus 
claim versus order, etc.

If anyone has a standard vocabulary for OMOP that’s commonly used, we’d ideally 
like to see if we can move in the direction of harmonizing the attribution of 
these medications facts.

BTW, I presented the nominees for the PCORnet Data Committee and hope the names 
should be announced at the face to face PCORnet meeting Wednesday.  So, stay 
tuned for more info on the PCORnet Data Committee shortly,


Russ Waitman, PhD
Director of Medical Informatics
Assistant Vice Chancellor for Enterprise Analytics
Associate Professor, Department of Internal Medicine
University of Kansas Medical Center, Kansas City, Kansas
913-945-7087 (office)
[email protected]<mailto:[email protected]>
http://www.kumc.edu/ea-mi/
http://informatics.kumc.edu<http://informatics.kumc.edu/>
http://informatics.gpcnetwork.org – a PCORNet collaborative



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