By structured fields I mean non-note sources. Notes might be stored in
a database and other columns/tables in that database will contain
patient metadata, such as sex, birthdate, insurance status, etc.
Extracting this information is probably institution-specific. If you
don't have access to this kind of database and want to get it from
notes you will need to write your own uima annotator. There are
examples of how to do this in the ctakes-examples module.
Tim


On Thu, 2017-12-21 at 07:14 -0800, Vedic Baatein wrote:
> That makes sense. 
> 
> What would be a good way to extract information about the “structured
> fields” from the notes. Is there a specific module for it. 
> 
> Thanks,
> Nitesh
> 
> > 
> > On Dec 21, 2017, at 4:24 AM, Miller, Timothy <Timothy.Miller@childr
> > ens.harvard.edu> wrote:
> > 
> > No, there is not that I'm aware of. While that information is often
> > in
> > the note, it is also usually in structured fields where it can be
> > extracted with ~100% accuracy so it's not a high priority for NLP.
> > Thanks
> > Tim
> > 
> > 
> > On Thu, 2017-12-21 at 09:26 +0000, abilash.mat...@cognizant.com
> > wrote:
> > > 
> > > Hi All,
> > > 
> > > Is there an option currently available with CTAKES for extracting
> > > patient name, age etc. from Medical records and lab reports?
> > > 
> > > Thanks,
> > > Abilash Mathew
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