Our approach is to apply a series of validation/cleansing steps to copies of  
Clarity/Administrative data in our staging tables, and then apply two sets of 
transformations - one that generates the i2b2 content, the other generating the 
Pcornet content.

Certain synthetic data that are generated in intermediate steps are common to 
both - e.g., surrogate patient IDs and encounter IDs happen to be shared 
between the PCORNET and I2b2 data models.

So the end-result is identical to first transforming into  i2b2, and then 
transforming I2b2 into PCORNET (which would involve swiveling the entire data 
model) -  and the ETL code architecture is much cleaner.

-----Original Message-----
From: GPC Informatics [mailto:[email protected]]
Sent: Tuesday, January 17, 2017 4:34 PM
To: [email protected]; [email protected]; [email protected]
Cc: [email protected]; [email protected]; Nadkarni, Prakash
Subject: Re: [gpc-informatics] #503: UMN CDM ETL reflects data quality of i2b2 
store?

#503: UMN CDM ETL reflects data quality of i2b2 store?
--------------------------+-------------------------
 Reporter:  rwaitman      |       Owner:  rwaitman
     Type:  design-issue  |      Status:  assigned
 Priority:  major         |   Milestone:  cdm-cycle3
Component:  data-quality  |  Resolution:
 Keywords:                |  Blocked By:
 Blocking:                |
--------------------------+-------------------------
Changes (by dconnolly):

 * owner:  jdale => rwaitman
 * status:  new => assigned


Comment:

 At HackathonFour, Russ took the ball to follow with Tim and G.

--
Ticket URL: 
<http://informatics.gpcnetwork.org/trac/Project/ticket/503#comment:10>
gpc-informatics <http://informatics.gpcnetwork.org/>
Greater Plains Network - Informatics


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