BMI archetype

Bert Verhees bert.verhees at
Tue Apr 11 13:46:48 EDT 2017

Good story. Thx

Op di 11 apr. 2017 16:40 schreef Thomas Beale <thomas.beale at>:

> I don't disagree that we may need a more subtle analysis in the future
> that deals with the supersmart machines that are now mixing pure
> measurement with interpretation. For now, I would suggest that the best
> dividing criterion for choosing Observation or Evaluation is to ask the
> question:
>    - is this information (only) 'about' the individual patient?
>       - YES => Observation
>    - or does it contain inferences made by comparing individual data
>    against knowledge of clinical categories?
>       - YES => Evaluation
> if it seems to be mixed, e.g. a path result containing both the raw result
> e.g. microbiology 'organism = giardia' and an interpretation 'probable
> giardiasis', you have to consider using both an Observation and an
> Evaluation, or that only one of them is really relevant.
> There is a good philosophical and practical reason to distinguish between
> Observation and Evaluation - Observations can be expensive to make, but are
> generally reliable. In difficult cases, Evaluations can be wrong, and need
> to be revisited. The EHR needs to be able to show the observational data
> distinct from subsequent interpretations so that an investigation for a
> difficult case can proceed efficiently.
> - thomas
> On 11/04/2017 02:58, Bert Verhees wrote:
> Saying this, it comes to my mind that often complex devices, also
> supported by computers, AI-algorithms, etc, not only observe but also
> evaluate/interpret.
> So what comes out of the machine can be a mixture of observations and
> evaluations, hard to distinguish, and also rather academical to distinguish.
> Maybe the reference-model is in need of another term, that can be partly
> observation and partly evaluation. And when we have that term, it is
> questionable if that term shouldn't have been there at the first place.
> Bert
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