#31: data elements for ALS cohort characterization
-------------------------------------+------------------------
Reporter: dconnolly | Owner: jhe
Type: design-issue | Status: assigned
Priority: major | Milestone: data-agg1
Component: data-stds | Resolution:
Keywords: als-cohort methods-core | Blocked By: 63
Blocking: |
-------------------------------------+------------------------
Comment (by dconnolly):
Replying to [comment:27 jhe]:
> We found the problem list under diagnoses>clinical(O2 EMR), but there
seems to have no content in it.
Based on some research work (below), my guess is: that reflects the fact
that clinicians often don't fill in the problem list.
-
[http://frontiersresearch.org/frontiers/sites/default/files/frontiers/documents/AMIACRI_CohortCharacterizationv3.pdf
Understanding Diagnosis Assignment from Billing Systems Relative to
Electronic Health Records for Clinical Research Cohort Identification]
\\Russ Waitman ; Kelly A. Gerard ; Daniel W. Connolly ; Gregory A. Ator
\\[http://knowledge.amia.org/amia-56636-cri2014-1.977698/t-003-1.978301?qr=1
AMIA 2014 Summit on Clinical Research Informatics]
excerpt:
----
- EMR features to identify hospital and principal problems are
“unreliably” recorded.
- Be wary of an EMR “attribute” without analysis of utilization and
workflow.
- If it doesn’t drive workflow or billing it’s often unused.
----
--
Ticket URL:
<http://informatics.gpcnetwork.org/trac/Project/ticket/31#comment:28>
gpc-informatics <http://informatics.gpcnetwork.org/>
Greater Plains Network - Informatics
_______________________________________________
Gpc-dev mailing list
[email protected]
http://listserv.kumc.edu/mailman/listinfo/gpc-dev
