Medical Decision Making provides clinicians with a powerful framework for helping patients make decisions that increase the likelihood that they will have the outcomes that are most consistent with their preferences.
This new edition provides a thorough understanding of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. It shows how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice guidelines and policies.
Medical Decision Making is a valuable resource for all experienced and learning clinicians who wish to fully understand and apply decision modelling, enhance their practice and improve patient outcomes.
“There is little doubt that in the future many clinical analyses will be based on the methods described in Medical Decision Making, and the book provides a basis for a critical appraisal of such policies.” - Jerome P. Kassirer M.D., Distinguished Professor, Tufts University School of Medicine, US and Visiting Professor, Stanford Medical School, US
Table of contents
Foreword – Jerome Kassirer
Chapter 1: Introduction
Chapter 2: Differential Diagnosis
Chapter 3: Probability: Quantifying Uncertainty
Chapter 4: Understanding New Information: Bayes' Theorem
Chapter 5: Measuring the Accuracy of Diagnostic Information
Chapter 6: Expected Value Decision Analysis
Chapter 7: Markov Models and Time-Varying Outcomes
Chapter 8: Measuring the Outcome of Care
Chapter 9: Selection and Interpretation of Diagnostic Tests
Chapter 10: Cost-Effectiveness Analysis and Cost-Benefit Analysis
Chapter 11: Medical Decision Making In Practice: Advanced Methods