Think the background of our discussions is about CLASSfying.

Sent from my iPad

On Jun 21, 2012, at 8:08 PM, Thomas Beale <thomas.beale at 
oceaninformatics.com> wrote:

> On 21/06/2012 19:07, Gerard Freriks wrote:
>> 
>>> So to summarise, it came down to finding categories on which health 
>>> information data structures - i.e. information models - could be based that 
>>> would work reliably for most if not all of medicine. Now, having used these 
>>> categories for some years, it turns out that they are remarkably stable. I 
>>> know that the grey-zone debate on Observation/Evaluation will continue for 
>>> ever, but if one steps back for a second, what you see is that for most 
>>> types of clinical data, it is obvious which category to use. Most of the 
>>> archetypes for these types are not really in question. Further, noone has 
>>> identified (to my knowledge) a strong contender for any new kind of 
>>> category (excepting for sub-categories of AdminEntry, which will probably 
>>> appear one day). 
>> 
>> On the contrary, in spite of your  claimed years of experience, I have my 
>> claim to experience both in the openEHR world and that of the EN13606 
>> association and this experience shows that they way users use the 
>> definitions in openEHR give rise to problems for the users. I agree that 
>> nobody will er a Blood Sugar Measurement result as an Evaluation or 
>> Instruction or Action.
>> In literature I have seen many wrong annotations because of problematic and 
>> unclear  definitions in the real of openEHR.
>> Why are we having this discussion if there were no problems what so ever?
> 
> Not my personal experience, I mean the experience of deployed openEHR systems 
> around the world. In a sense there is no difference between openEHR and 13606 
> - the same problem has to be solved:  what data structures are used to 
> represent various clinical information? It's just that 13606, being designed 
> solely for haphazard and unknowable (in advance) legacy data doesn't provide 
> any specific Entry data structures. OpenEHR provides the GenericEntry for 
> that     case, but also specific types of Entry for data (legacy or newly 
> created) whose structure is known. 
> 
> There are various advantages of these data structures:
> a) you can actually build software that can process the data properly. When 
> everything is a tree, you have to write your own private model for that - 
> everyone re-invents a basic wheel, and those software components are not 
> generally re-usable with different data.
> b) You can reliably query, because you know where things are. When you 
> aggregate huge amounts of clinical data from numerous sources into 
> patient-centric health records, being able to find Event origin times, Action 
> descriptions, protocol data and so on is worth a lot.
> c) you have a standard representation for some key patterns, which means 
> archetypes based on those patterns will be the same in those key features, 
> which provides a level of built-in standardisation for archetypes, for those 
> features.
> It is not that there are no problems; the problems are to do with, in some 
> cases, knowing what Entry type to use (since you appear to agree with the use 
> of the specialised Entry types, this problem is the same in 13606). The 
> answer has been confused somewhat by us being too purist and trying to 
> completely equate the data structures with the intended ontological 
> categories - as Ian McNicoll has said many times. I have always said, what's 
> the problem? But as soon as a clinical modeller comes up with an example like 
> some kind of summary, there is a long debate. That's all that is happening 
> here. 
> There is nothing basically wrong with the existing Entry types, or at least 
> no evidence of it that I have seen (and a lot of evidence to the contrary). 
> What is potentially not quite right is our understanding of how to use them 
> in all cases. We need to develop better descriptions of which types to use 
> for the more recently apprehended examples like 'clinical summary' and 
> various types of lab result which have 'interpretations' included.
> Interestingly, in the openEHR system implementation environments I know of, 
> these debates are short and sweet. The choice is made, the archetypes, 
> template and software are built and deployed.
> - thomas
> 
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