In the last couple of weeks I've been studying and testing the #openEHR demographic model which has a lot of potential though it needs some improvements.
First it needs more flexibility to specify roles by setting the identities to optional. Second there is an inconsistency in the languages attribute which is DV_TEXT and a better option would be CODE_PHRASE.
Also, the demographic #openEHR model needs more support by modeling tools, we actually need demographic OPTs to be able to test conformance with the openEHR specs.
Thr #openEHR demographic model allows to represent family relationships, associate clinicians with organizations, manage roles, manage information about devices, imaginology modalities and even software systems, among other things.
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Which allows to link family EHRs together, associate devices to clinical records of diagnostic test or procedures, enabling secondary uses of clinical data (population health, research, clinical trial support, analytics, etc.) with a great deal of information ready there for you
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