But the purpose then would not be to collect data for healthcare purposes - i.e. this post is about the use of open EHR standards and technologies for to answer a scientific question? Arild Faxvaag Den 2. jul. 2007 kl. 06.06 skrev Andrew Patterson:
> 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 -- Arild Faxvaag MD, PhD Associate professor / Rheumatologist Norwegian Research Centre for Electronic Patient Records (NSEP) Medisinsk teknisk forskningssenter N-7489 Trondheim Phone: +47 9821 6825 http://folk.ntnu.no/arildfa/
