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#87: Deploy, document R Data Builder demo service
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Reporter: dconnolly | Owner: gkowalski
Type: task | Status: assigned
Priority: major | Milestone: data-agg1
Component: data-sharing | Resolution:
#90: Diagnoses Modifiers for data attribution
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Reporter: campbell | Owner: lv
Type: design-issue | Status: accepted
Priority: major | Milestone: data-domains2
Component: data-stds | Resolution:
AT UTHSCSA our labs currently shown in babel are not correctly mapped from EPIC
component IDs. Rather than curate the lab data into categories, we're working
on a UMLS meta-thesaurus LOINC implementation, which should be deployed soon.
Angela Bos
Clinical Informatics Research Division
#90: Diagnoses Modifiers for data attribution
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Reporter: campbell | Owner: dconnolly
Type: design-issue | Status: accepted
Priority: major | Milestone: data-domains2
Component: data-stds |
At UTHSCSA, our preliminary findings seem to show that we get 98% mapping of
Clarity component IDs to LOINC using either UMLS meta-thesaurus or UNMC terms
(from PCORnet loincv3_unmc_export.csv).
-Angela
From: gpc-dev-boun...@listserv.kumc.edu
[mailto:gpc-dev-boun...@listserv.kumc.edu] On
#71: portable HERON ETL for Epic
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Reporter: dconnolly| Owner: bos
Type: enhancement | Status: assigned
Priority: major| Milestone:
Component: etl-dev | Resolution:
Keywords: | Blocked By:
So, you are using text analysis and matching? The stats seem unusually high to
me. Have you done any manual review for validation?
Jim
James R. Campbell MD
campb...@unmc.edumailto:campb...@unmc.edu
Office: 402-559-7505
Secretary: 402-559-7299
Pager: 402-888-1230
On Nov 14, 2014, at 4:53 PM,
Phillip
What you transcribed is exactly what we agreed at Hackathon I(KU March 2014).
Hubert just exposed our modifiers deployed on Babel and we have gone part way
on the installation but we are adding a second ontology layer for SNOMED CT.
I think that Cerner was researching their problem
