A model of clinical decision according to Bayes's formula is described and the problem of redundant informations is evaluated. It is postulated that a definitory and a syndromatic redundancy are unavoidable, which is why it is necessary to develop a correction factor. A series of indicants is investigated in two populations, and it is shown that correction for redundancy results in far-reaching changes in the patterns of information. The permissible syndrome is defined: a subset of informations containing the necessary and sufficient predictive capacity. The methods described may be used for an evaluation of common syndromes and may enable comparisons of information patterns, related to identical or different criteria.