Yet another OBSERVATION vs. EVALUATION issue

Stefan Sauermann sauermann at
Fri Aug 17 10:05:04 EDT 2012

This is deeply philosophic, but if you want it you get it:

The fact that a smoker within a given population develops cancer is an 
The fact that n smokers within a given population develop cancer is an 
So: some elements used for risk evaluation are observations.
I would agree that "Risk" as a whole is an evaluation.

Decisions of medical users do not depend on the fact that an item is 
classified as "observation" or "evaluation".
Users need to know how the content they see on the screen was generated.

Systems need to be able to tell the story of every item of information 
they show on screens. A single "label" on an element within an archetype 
does not provide this story. There need to be additional measures. I 
guess it makes sense to focus on these.

Hope this helps,
greetings from Vienna,

Stefan Sauermann

Program Director
Biomedical Engineering Sciences (Master)

University of Applied Sciences Technikum Wien
Hoechstaedtplatz 5, 1200 Vienna, Austria
P: +43 1 333 40 77 - 988
M: +43 664 6192555
E: stefan.sauermann at


Am 14.08.2012 18:41, schrieb Thomas Beale:
> whenever you assess someone as having a risk, you are doing something 
> similar to diagnosing: i.e. you are comparing some input data items 
> about the patient (high BPs over last 3 months, smoker, 55years old 
> etc) to some knowledge base that says that these things taken together 
> constitute a risk for hypertension, due to some population studies. 
> Any probability etc is derived from that knowledge base. So these are 
> all evaluations.

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