I have come across an interesting opportunity to do some openehr modeling in a sports science context. However, whilst half of the data is medical (heart rate etc), the other half is raw physical data (GPS location, cadence etc) related to in this case a bike..
So I would have one large history consisting of heart rate over time which can be modeled with existing archetypes. For the other data (the corresponding cadence over time), I will obviously need to construct my own archetypes. Does anyone have any experience at modeling this sort of non-clinical data? What would I name the archetypes - are they in the EHR namespace? Are there any composition archetypes suited to this non-healthcare related data input? How does one decide what goes in an archetype for data that comes from a bike (an archetype for each data item, or one archetype to group the data items together?) (I realise it may just be easier to store that data in a non-openehr system but doing it the openehr way has certain attractions - some of which are that provides a unified mechanism for all the data, and can be extended to more clinical sports science data if that becomes important) Andrew _______________________________________________ openEHR-technical mailing list openEHR-technical at openehr.org http://lists.chime.ucl.ac.uk/mailman/listinfo/openehr-technical
