title: Interpretation of diagnostic data: 6. How to do it with more complex maths.
abstract: We have now shown you how to use decision analysis in making those rare, tough diagnostic decisions that are not soluble through other, easier routes. In summary, to "use more complex maths" the following steps will be useful: Create a decision tree or map of all the pertinent courses of action and their consequences. Assign probabilities to the branches of each chance node. Assign utilities to each of the potential outcomes shown on the decision tree. Combine the probabilities and utilities for each node on the decision tree. Pick the decision that leads to the highest expected utility. Test your decision for its sensitivity to clinically sensible changes in probabilities and utilities. That concludes this series of clinical epidemiology rounds. You've come a long way from "doing it with pictures" and are now able to extract most of the diagnostic information that can be provided from signs, symptoms and laboratory investigations. We would appreciate learning whether you have found this series useful and how we can do a better job of presenting these and other elements of "the science of the art of medicine".
mesh_terms: D000328:Adult; D001157:Arterial Occlusive Diseases / Q000175:diagnosis; D003327:Coronary Disease / Q000175:diagnosis; D003657:Decision Making; D003933:Diagnosis; D004562:Electrocardiography; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis; D008297:Male; D008962:Models, Theoretical; D011336:Probability; D013274:Stomach Neoplasms / Q000175:diagnosis