title: Instruction in medical decision making. A report of two surveys.
abstract: Results of two surveys (D and E) that assessed the current structure and status of instruction in medical decision making are reported. Both samples (Survey D, N = 80; Survey E, N = 92) consisted of members of the Society for Medical Decision Making. A consensus was obtained on topics considered important for teaching an introduction to clinical decision analysis to medical professionals. These topics were Bayes' theorem, decision trees, 2 X 2 tables, test sensitivity and specificity, utility, and ROC analysis. There was little agreement on course structure, level, or the preferred method for teaching decision analysis within medical settings. It was concluded that medical educators are in the process of constructing a knowledge base in decision-analytic techniques within academic medicine. It will soon be time to consider the place of more advanced topics within the continuum of medical education.
mesh_terms: D001499:Bayes Theorem; D003662:Decision Theory; D004501:Education, Medical; D006801:Humans; D008954:Models, Biological