Use of modern information technologies in combination with fuzzy decision logic makes it possible to generate prognostic models for high-confidence determination of the risk of post-surgery complications in urological patients. Problems of use of automated decision support systems based on fuzzy models for improving the accuracy of prediction of post-surgery complications in urological patients are discussed.