The base points of my theory is:
1) The set of patients with some set of illness and coming from some social
set is a "fuzzy set".
2) The set of point 1) depends of the age and sex (crispy sets).
3) All the illness are "fuzzy sets"
4) All the social sets are "fuzzy sets".
5) The DRG are uncertainly coefficients, not crispy sets.(Is the result of
statistical probability, the principal questionable method for the evident
sum of fuzzy factors).
6) The DRG could be false sets for any performance ponderation.
To ponderate the relative cost and health care performance I suggest
to research the application of hospital software with fuzzy logic engine
and expert system for data base.
Anyhow, the input of any hospital software is the more noisy and distorted
data treatment difficulty, because the fuzzy nature of the morbidity,
co-morbidity and treatment definitions, at sight of the MD.
I'll be grateful for any comment.
Ernesto Landera
rnt@mpdisi.gov.ar