Re: non Medical entity extraction [EXTERNAL]

[Miller, Timothy]

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  > 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 +, 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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> > > and
> > > other e-mail communications sent to and from Cognizant e-mail
> > > addresses may be monitored.

Re: non Medical entity extraction [EXTERNAL]

[Vedic Baatein]

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 
>  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 +, 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
>> This e-mail and any files transmitted with it are for the sole use of
>> the intended recipient(s) and may contain confidential and privileged
>> information. If you are not the intended recipient(s), please reply
>> to the sender and destroy all copies of the original message. Any
>> unauthorized review, use, disclosure, dissemination, forwarding,
>> printing or copying of this email, and/or any action taken in
>> reliance on the contents of this e-mail is strictly prohibited and
>> may be unlawful. Where permitted by applicable law, this e-mail and
>> other e-mail communications sent to and from Cognizant e-mail
>> addresses may be monitored.

Re: non Medical entity extraction [EXTERNAL]

[Miller, Timothy]

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 +, 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
> This e-mail and any files transmitted with it are for the sole use of
> the intended recipient(s) and may contain confidential and privileged
> information. If you are not the intended recipient(s), please reply
> to the sender and destroy all copies of the original message. Any
> unauthorized review, use, disclosure, dissemination, forwarding,
> printing or copying of this email, and/or any action taken in
> reliance on the contents of this e-mail is strictly prohibited and
> may be unlawful. Where permitted by applicable law, this e-mail and
> other e-mail communications sent to and from Cognizant e-mail
> addresses may be monitored.