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A "for interest" item: the result of a systematic technical analysis of a large number of SNOMED extensions that currently exist in the world, including those from most NRCs.
Through August and September 2022, I obtained the current releases of 25 different SNOMED "extensions" in order to carry out a systematic technical analysis of them all in parallel:
Alberta, Argentina, Australia, Austria, Belgium, Canada, Denmark, Estonia, Finland, India, Ireland, Nebraska, Netherlands, New Zealand, Norway, Singapore*, SNODENT, Spain, Spanish Language, Sweden, Switzerland, Thailand, United Kingdom, Uruguay, USA, Veterinary
*Singapore extension stats obtained indirectly from MOH
The particular underlying exam challenge was an attempt to characterise the spectrum of "NRC release content complexity" that currently exists, and thereby indirectly also that of the content management tooling that supports that.
Although necessarily a somewhat rough-edged and off-desk project, the results are I think still interesting - perhaps if only because it isn't terribly clear exactly what all the numbers and details might be trying to tell us!
However, in a spirit of openness I'm sharing the output here in case it helps anybody else. It has also been posted separately to the Member Forum. Please feel free to share.
I'd be happy to consider suggestions for additional metrics that might also be extracted and useful/informative.
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Jeremy Rogers
Through August and September 2022, I obtained the current releases of 25 different SNOMED "extensions" in order to carry out a systematic technical analysis of them all in parallel:
Alberta, Argentina, Australia, Austria, Belgium, Canada, Denmark, Estonia, Finland, India,
Ireland, Nebraska, Netherlands, New Zealand, Norway, Singapore*, SNODENT, Spain, Spanish Language, Sweden,
Switzerland, Thailand, United Kingdom, Uruguay, USA, Veterinary
*Singapore extension stats obtained indirectly from MOH
The particular underlying exam challenge was an attempt to characterise the spectrum of "NRC release content complexity" that currently exists, and thereby indirectly also that of the content management tooling that supports that.
Although necessarily a somewhat rough-edged and off-desk project, the results are I think still interesting - perhaps if only because it isn't terribly clear exactly what all the numbers and details might be trying to tell us!
However, in a spirit of openness I'm sharing the output here in case it helps anybody else. It has also been posted separately to the Member Forum. Please feel free to share.
I'd be happy to consider suggestions for additional metrics that might also be extracted and useful/informative.