The power of this approach is hard to appreciate
> until you're in a 
> situation where lots of people have lots of things
> they want to 
> characterize in a system.  It allows non-developers
> to own and 
> augment their own notions of what data matters to
> them, without 
> altering the underlying database model.

This is important for clinicians in different
specialities with various interests in the specifics.
No FOSS EMR I tried/used, except OIO, allow this to be
done easily by users.

The Concept Dictionary approach seems to be similar to
the Archetypes approach of OpenEHR, which goes a
further step.

Nandalal
--- Paul <[EMAIL PROTECTED]> wrote:

> Hi Karsten,
> 
> --- In [email protected], Karsten Hilbert 
> 
> > Agree. I'm reading this thread with interest. I
> have been
> > interested in the Concept Dictionary approach ever
> since I
> > learned about OpenMRS a year ago or so. There's a
> strong
> > camp opposed to EAV-only schemata. I have a
> nagging feeling,
> > however, that having a Concept Dictionary approach
> can be of
> > great value where it fits (as a poor-mans export
> system,
> > perhaps ?). I have read most of the OpenMRS docs
> but haven't
> > yet been struck by lightning going "Ah yes !
> That's how I'd
> > want to use that in GNUmed !!". As I said, I do
> think I am
> > missing out on something very elegant and would
> like to be
> > educated on that. It's the same feeling I have
> that once I
> > eventually get around to implementing forms (as in
> paper)
> > support I will turn to studying NetEpi on that.
> 
> Well, Burke and I started down the pathway of a
> concept dictionary 
> based EAV model not due to any divine wisdom on our
> part, but 
> because of the education we received from our
> mentor, Clem McDonald, 
> who is the father of the RMRS, one of the oldest
> (40+ years) and 
> largest clinical information systems I'm aware of. 
> We thought, if 
> it's not broke, let's not try to fix it.  Of course,
> we've 
> modernized and extended out some of the
> functionalities from the 
> RMRS model, but the basic ideas have remained
> intact.
> 
> The most important technical "a-ha" for me was once
> I got the point 
> that the dictionary defines both the questions and
> the answers 
> within an observation.  My favorite example is a
> simple test in any 
> urinalysis, the urine color.  We create a concept
> for the 
> question "urine color" and then define all of the
> appropriate meta-
> data that drives that question.  Like, what is the
> datatype of the 
> concept, what are it's synonyms, what is it's
> description?  In the 
> case of urine color, you might set it's datatype as
> "coded" so that 
> you can make separate concepts for each answer. 
> (ie, yellow, straw 
> colored, clear, etc.)  The magic of this dictionary
> is that any 
> concept can be used throughout the system in a lot
> of ways.  Want to 
> use "urine color" as an answer to another question? 
> No problem.  
> Want to use yellow to describe's someone skin color?
>  No problem as 
> well.
> 
> The power of this approach is hard to appreciate
> until you're in a 
> situation where lots of people have lots of things
> they want to 
> characterize in a system.  It allows non-developers
> to own and 
> augment their own notions of what data matters to
> them, without 
> altering the underlying database model.  The RMRS
> has over 30k of 
> these concepts.  If you'd like me to set you up with
> some examples 
> of what this looks like in a live system, just let
> me know.  I'll 
> point you to a demo that you can hack around with.
> 
> Hope this is helpful,
> -Paul
> 
> 




 
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