I started looking into it, but it was a little hard to tell what was going on.

I would have thought same MRN would imply same data of birth, but there were 
plenty of exceptions to that. So one complication is: how do I figure out which 
records refer to the same patient?

Then the religions are not spelled the same way, and IDX has just one race 
where epic can record several, and so on.

Perhaps I could have done a more simple analysis; perhaps the encoding 
differences were just a distraction.

Anyway... I'll leave it in the someday pile, for now.

--
Dan

________________________________
From: Russ Waitman
Sent: Thursday, April 14, 2016 11:41 AM
To: Dan Connolly
Cc: Tamara McMahon; Li Huang; <[email protected]>
Subject: Re: integrate IDX demographics: wontfix?

Hi Dan,
I’d spot check but that likely makes sense since it shares the same EMPI with 
Epic here.

Can we see if we miss out on any race and ethnicity that’s sitting in IDX 
tables but didn’t get migrated to Epic?  Now that we have a Epic post clinical 
integration in January, I’d hope it’s fully populated in Epic now.  But, we are 
still doing ambulatory billing in former UKP clinics out of IDX there’s a 
potential we might be missing some.  A check joining tables between the two 
would tell.

Russ

On Apr 14, 2016, at 10:45 AM, Dan Connolly 
<[email protected]<redir.aspx?REF=p5y9i4ILSfdX0nXF8s2q2BAvQgWASHJ9nOypsM0NHp60lrOjmmfTCAFtYWlsdG86ZGNvbm5vbGx5QGt1bWMuZWR1>>
 wrote:

Russ,

How about we decide not to integrate IDX demographics? i.e. close KUMC #406 as 
wontfix.

I was reminded of this in discussion of our annotated data dictionary, where we 
left IDX out of our sources for demographics:
TABLE   QUESTION        RESPONSE
DEMOGRAPHIC     Please describe the provenance of the data in this table (see 
examples of data sources on the DataMart Overview tab).   EMPI from KUH Epic, 
primarily. Some cases of patient-reported data from REDCap where we cannot 
identify a corresponding EMPI record.
DEMOGRAPHIC     If more than 1 data source was used to populate this table, 
please explain how data were reconciled     EMPI and supplementary REDCap data 
are disjoint.

#406 includes a note from May 2014: "Russ suggests that this may not be needed 
anymore since all clinics are live on Epic." But the ticket wasn't closed.

ref:

  *   ​KUMC annotated data 
dictionary<redir.aspx?REF=Te6SKc6jwToHWW2454VswfSvW-ofUrZnd8xaOSZlmrO0lrOjmmfTCAFodHRwczovL2RvY3MuZ29vZ2xlLmNvbS9zcHJlYWRzaGVldHMvZC8xQy1CTVFjbzcxODVZamlyblNXWURaekdwR2RYdE1hYnBVOXRzeDVBdVZhZy9lZGl0I2dpZD03MDg5Njk0MjU.>
     *   
ticket:486#comment:34<redir.aspx?REF=3dDQr-w8j8wUveo6GYQw3DOLe8nBiQQ36jK7TdScIsm0lrOjmmfTCAFodHRwczovL2luZm9ybWF0aWNzLmdwY25ldHdvcmsub3JnL3RyYWMvUHJvamVjdC90aWNrZXQvNDg2I2NvbW1lbnQ6MzQ.>
  *   KUMC ticket #406 (limited 
access)<redir.aspx?REF=3Obi2Y6_1kiz2ryhZ2AXH1oaei-9UKMmmvQt3VrTHFq0lrOjmmfTCAFodHRwczovL2JtaS13b3JrLmt1bWMuZWR1L3dvcmsvdGlja2V0LzQwNg..>

--
Dan

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]<redir.aspx?REF=Gur2O3eDLw46Tw0DPy_2GFofNxSQ3mZbI1SvNv5it620lrOjmmfTCAFtYWlsdG86cndhaXRtYW5Aa3VtYy5lZHU.>
http://www.kumc.edu/ea-mi/<redir.aspx?REF=jzOmh7cgy2ljeMy_x0gbg861ZR2KZ3mtVaMcB2aP_Ni0lrOjmmfTCAFodHRwOi8vd3d3Lmt1bWMuZWR1L2VhLW1pLw..>
http://informatics.kumc.edu<redir.aspx?REF=aNEnkx1OVAMVCxkgGLb1qnu0Y23ZH40Iy9yIylGd_z20lrOjmmfTCAFodHRwOi8vaW5mb3JtYXRpY3Mua3VtYy5lZHUv>
http://informatics.gpcnetwork.org<redir.aspx?REF=iGIoLtwOI_JGeS6UFDUHKTWmuSO50aeSs9EnLPHrsEK0lrOjmmfTCAFodHRwOi8vaW5mb3JtYXRpY3MuZ3BjbmV0d29yay5vcmc.>
 – a PCORNet collaborative



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