1/n It took only 4 hours to replicate a previously unseen, complex research-related FHIR IG data set (comprising 124 data points) using 53 prequalified #openEHR archetypes - 100% reuse; 0% extension, specialisation or new modelling. https://twitter.com/jmirpub/status/1323287770542960641
2/n
Question: Is it plausible to create a universal #HealthIT data language?

Answer: Evidence so far, a resounding yes!

So many questions...

What is the realistic extent & scope of a shared archetype library Limitations? Barriers?
3/n
What are the clinical knowledge governance requirements for a library of shared information models? CKM plus? Maybe we've solved most of this already!

How to measure the quality of individual information models? What are the solid metrics; not the motherhood statements?
4/n
Just imagine... the impact on data set quality if they were all based on a foundation of prequalified information models!

Or the time and cost efficiencies of creating data sets from a shared library of information models
5/n
Imagine a semantically interoperable world where information models are shared natively - between clinical systems, in different contexts, multiple purposes.

No more patching #healthIT systems together w messages, mapping errors.
...You actually know what the data means!
6/n
What would the impact on clinical safety be if we had a common health data language, even if only for a few critical data points.

Only 3, three, THREE shared adverse reaction data points could save lives!
7/7
And if we could break down the barriers between clinical data, research, registries, population health, reporting et al... imagine the impact if we had unambiguous, high quality data that could be used and reused, flow, across all contexts...
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