On Tue, 2003-08-05 at 07:27, Thomas Beale wrote:
> Tim Churches wrote:
> 
> >On Tue, 2003-08-05 at 07:01, Thomas Beale wrote:
> >  
> >
> >>right. This is exactly the openEHR approach. Have a look at the 
> >>reference models, including for demographics 
> >>(http://www.openehr.org/Doc_html/Model/Reference/demographic.htm), and 
> >>you will see that is exactly what the approach is. Actually, the 
> >>demographics model is intended to work for all care domains. Undoubtedly 
> >>it has to be improved before it does that, but that's what 
> >>implementation and testing are for...
> >>    
> >>
> >
> >Why are parties versioned? Human cloning is banned in most countries,
> >and so far unsuccessful in the rest. Maybe for a Raelian EHR? Seriously,
> >the attributes of a party change, but the identity of the party remains
> >the same? Or is versioning just an easy way of incorporating the time
> >domain into the model? If so, it is easy, but inefficient.
> >
> the attributes do change. The point is to know what the party looked 
> like at any given point in time in the past - so if you reconsititute 
> the EHR for 2 years ago, you also get the 2-years ago view of all the 
> demographic entities mentioned in it, including the patient. Without 
> versioning of demographic information, medico-legal investigations into 
> past states of the EHR can't work...

Yes, yes, of course, that is taken for granted.

> 
> Not sure what you mean by "inefficient"..

Well, I have changed my address several times during my life, but not my
sex or my name. This can be modelled by either keeping an address
history within my demographic record (that is, explicitly modelling the
time domain), or by keeping timestamped versions of my entire
demographic record. openEHR seems to adopt the latter approach. That
approach is less efficient space-wise, but that hardly matters these
days. It is more efficient if the (medico-legal) query is "what was my
demographic record at date yyyy-mm-dd?" Much less efficient if the query
is "how many times did I change my address?". Very, very inefficient if
the query is "what is the mean number of address changes in the entire
population?". I am thinking from an aggregate epidemiological POV, not a
clinical/medico-legal individual patient POV. But then, satisfying the
former POV is what data warehouses, populated from EHRs, are for...

Tim C

> 
> - thomas
> 
> 
> -
> If you have any questions about using this list,
> please send a message to d.lloyd at openehr.org
-- 

Tim C

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