Does Bayes have it? Decision Support Systems in diagnostic medicine

The design of a Bayesian Decision Support System (DSS) for training medical decision-making under uncertainty is described. Research revealing systematic, robust judgmental biases informed the design. Results showed that diagnosticity is crucial for useful DSSs, and that designers should quantify the variables to be applied in their DSS algorithms. The notion of diagnosticity, the biases uncovered, and the DSS model are applicable to a wide variety of areas of human endeavour characterized by complex decisions and ambiguous information.