Ebook: Medical Decision Making, Second Edition

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

Content:
Chapter 1 Introduction (pages 1–6):
Chapter 2 Differential Diagnosis (pages 7–26):
Chapter 3 Probability: Quantifying Uncertainty (pages 27–60):
Chapter 4 Understanding New Information: Bayes' Theorem (pages 61–92):
Chapter 5 Measuring the Accuracy of Diagnostic Information (pages 93–142):
Chapter 6 Expected Value Decision Making (pages 143–169):
Chapter 7 Markov Models and Time?Varying Outcomes (pages 170–203):
Chapter 8 Measuring the Outcome of Care ? Expected Utility Analysis (pages 204–242):
Chapter 9 Selection and Interpretation of Diagnostic Tests (pages 243–287):
Chapter 10 Cost?Effectiveness Analysis and Cost?Benefit Analysis (pages 288–306):
Chapter 11 Medical Decision Analysis in Practice: Advanced Methods (pages 307–335):