Peter,

I like to accept ypur suggestion.

Gerard
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Gerard Freriks, arts
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On 13 Apr 2005, at 19:55, Elkin, Peter L., M.D. wrote:

> Dear Roger and Thomas,
>
> We have looked extensively at Multivalued logic for quantitating 
> uncertainty.  It turns out that most folks in that world have taking 0 
> false and one true with a number of discrete, usually equally spaced 
> values in between for uncertainty.
>
> After a longwinded go around with a Prof of Philosophical Logic at 
> Princeton (Dr. Graham) We determined that there at least three 
> reproducible types of uncertainty (with good inter-rater reliability) 
> and ~ seven semantic categories.
>
> The types are Probable (our guess is around 85% true +/- 5%) and 
> Unlikely (our guess is around 15% true +/- 5%) or Just as likely as 
> not (again our guess is around 50% +/- 15%).  These number come from 
> the average PPV of the evidence when a physician "Makes a diagnosis" 
> and NPV when a physician rules one out.
>
> Other distinctions are less reproducible.  When taken together most 
> clinicians would say that Probable is stronger than Likely, however 
> the assignment to actual cases is not in our experience reproducible 
> between knowledgeable reviewers.
>
> I suggest that you first code (as we do) True, False or Uncertain.  
> Then qualify Uncertain with a semantic type indicating strength.  This 
> allows a model that can grow with our ability to represent more 
> closely evidence based medicine.
>
> Warm regards,
>
> Peter
>
> Peter L. Elkin, MD
> Professor of Medicine
> Director, Laboratory of Biomedical Informatics
> Department of Internal Medicine
> Mayo Clinic, College of Medicine
> Mayo Clinic, Rochester
> (507) 284-1551
> Fax: (507) 284-5370
>
>
>
> -----Original Message-----
> From: owner-openehr-technical at openehr.org 
> [mailto:owner-openehr-technical at openehr.org] On Behalf Of Thomas Beale
> Sent: Monday, April 11, 2005 11:42 PM
> To: openehr-technical at openehr.org
> Subject: Re: Dr R LONJON Confidence indicator !
>
> Dr LONJON Roger wrote:
>
>> hello philippe and thomas,
>> excuse me to intervene, in English of bad quality.
>> in medicine for me, a result must be validated and must be signed by 
>> the
>> producer. This result is therefore automatically a total confidence 
>> level. It
>> is a very important notion on the legal plan when these results are 
>> put to
>> disposition on a shared medical file (server web)
>>
>> Inversely if this result is approximate, with a coefficient of mistake
>> importing, it is not about a validated data and therefore 
>> publishable, because
>> consequences in r?ponsabilit? for their author are unforeseeable if 
>> the patient
>> carries complaint.
>>
>> I am unaware of this aspect of the problem so enters in your 
>> reflection.
>>
>>
> It is actually quite common: consider that in a differential diagnosis,
> confidences are always expressed in each of the possible diagnosesa,
> e.g. 90%, 9%, 1% for possible reasons for a child's fever. I don't see
> it as being about mistakes, it's about the estimation by a clinical
> professional of the probability of correctness of an opinion. In
> openEHR, confidences always appear in data of the EVALUATION type. 
> There
> is no question of clinician confidence in OBSERVATIONs - they are for
> all intents objective. Of course, machines may have limited accuracy
> (inbuilt error) and numeric results may be reported with limited
> precision; these situations can be archetyped.
>
> - thomas
>
>> Cordially
>>
>> Dr R LONJON
>> france
>>
>>
>
>
> -
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>
> -
> If you have any questions about using this list,
> please send a message to d.lloyd at openehr.org
>
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