Hi Alessandro

Very good question. I know that some implementers store 'basic query
demographics' in a single persistent composition with an archetype
representing dob, sex, gender etc, to get around this although it to
some extent weakens the ehr / Demographics split.

One approach I would like to see pursued is that we develop a
standardised approach using similar archetypes in a 'demographics
composition' but allowing the backend system to choose whether the
data was sourced from the EHR that composition, or retrieved virtually
from a seaprate Demographics engine as Thomas was suggesting.

That would let us standardise the AQL statements but allow
implementers to meet the needs of different groups as Karsten was
suggesting. Patient registries is an example of where it is more
compelling to hold some demographics data in situ.

I have done a little work on this for the EU PARENT project.

This is the anonymised patient details archetype

http://www.openehr.org/ckm/#showArchetype_1013.1.1745

and seen in use at

http://www.openehr.org/ckm/#showTemplate_1013.26.16

For review purposes, in this template, the anonymised archetype is
carried in the same composition - this would not be the case in a run
time example.

So in this case a standard AQL could be used to retrieve

"Give me all female patients living in Paris and with no allergies and
a the last labresult of type Kreatine is < 20 but within a year"

but how the age, sex, location data is actually resolved is
implementation dependent.

Ian

Dr Ian McNicoll
mobile +44 (0)775 209 7859
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Director, freshEHR Clinical Informatics
Director, openEHR Foundation
Director, HANDIHealth CIC
Hon. Senior Research Associate, CHIME, UCL


On 15 January 2015 at 09:28, Alessandro Torrisi <alessandro at code24.nl> wrote:
> Hello,
>
> did any off you thought about how a query should look like suppose I want
> such like this :
>
> "Give me all female patients living in Paris and with no allergies and a the
> last labresult of type Kreatine is < 20 but within a year"
>
> The hardest part is to combine the demographic information with the medical
> information. Should you be able to do it with AQL?
>
> --
> Alessandro Torrisi
>
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