Dear Tom et al:

This is my "de-lurking" for the list.  For those of you who dont' know me, I'm
a computing academic whose area of interest will be adequately characterised by
my question...

I'm trying to represent the structure of "normal" values of fields in
archetypes.  I can see that there is of course some provision for a set of
allowed values, a default value and (in quantities) min and max.  I want to go
further (because the information could be very useful in the user interface and
to integrate with decision support).

For instance, I'd like to design fairly specific chronic disease management
archetypes.  Without worrying whether it's clinically particularly worthy, take
as a convenient example the hypertension in diabetes algorithms at
http://www.tdh.state.tx.us/diabetes/algorithms/PDFfiles/HYPER.PDF.

My PhD student, Sistine Barretto, has made a map of the relationship of
concepts from that guideline (see
http://winston.unisa.edu.au/demo/Share/Ontology.doc - and the goal here is not
to get too picky about the use of the term "ontology" either).

>From this analysis it falls out (unsurprisingly) that there are a set of drugs
(in particular, some drug types as well as a set of generics organised into
types) that are in the scope of compliance with the guideline.  There are also
some relevant comorbidities and various other concepts (observations and
actions).

How can I (should I?) represent the set of likely (in scope) drugs such that,
for example, a user interface could put them as options in a menu?
Furthermore, how can I relate the comorbidities and other indications for the
drugs to the values for a drug name field in a specialised medication
archetype?

Admittedly, I'm slipping into the realm of decision support, but I think it
really is simply the structure of the domain of normal values in this specific
application.  I'd like to use archetypes to represent this, just as a I might
use them to represent the min and max of a given quantity.  Is the capability
all there already?  If not, what's missing?

Cheers,
Jim Warren

Assoc. Prof. Jim Warren
Director, Health Informatics Laboratory
Advanced Computing Research Centre
University of South Australia
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