Tim Churches wrote: >Thomas Beale wrote: > > >>I'm wondering if there is a meta-algorithm of some sort lurking behind >>the scenes, which takes account of uncertainty in a note, and also >>severity of non-discounted possibilities, as a way of deciding what to >>do next. There is undoubtedly published work on this... >> >> > >This is a very brief but reasonable introduction to Bayesian probability >(which includes calculation of utility), which is what I think you are >grasping at: http://en.wikipedia.org/wiki/Bayesian_probability > > Hi Tim, and there are quite a few decision support products based on Bayesian logic as well. But I wonder if they have been applied to the problem of determining next best steps based not just on clinical data so far, but also cost, duration, and perceived severity of consequences of not doing something. And I think that Bayesian products should take as inputs only weightings proven by population studies, whereas physician belief is often supported by informal but often qutie accurate personal experience (i.e. experience of the patient population of the practice).
In any case, can we argue that there is no point caring about any finer gradations of true/false than true/false/maybe, as Peter Elkin has said they are doing at Mayo? - thomas - If you have any questions about using this list, please send a message to d.lloyd at openehr.org
