Abstract: A system and method are provided for generating a predictive model for predicting a postoperative bed type to be used by a patient after surgery. The predictive model is trained on features extracted from medical data and using a postoperative bed type as prediction target in the training. The predictive model is configured to output a probability on a scale 400 which corresponds to, at its lower end, a prediction of a first postoperative bed type and, at its upper end, a prediction of a second postoperative bed. A hybrid model is generated which applies a lower 410 and an upper threshold 420 to the probability scale. If the output probability of the predictive model is in between both thresholds, an expert selection of the bed type is recommended, while otherwise, the prediction of the predictive model is output. The values of the thresholds are optimized using a performance metric.