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
表中的内容
Foreword – Jerome Kassirer
Preface
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
Index
关于作者
Harold C. Sox
Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
Michael C. Higgins
Stanford University, Stanford, California
Douglas K. Owens
Department of Veterans Affairs Palo Alto Health Care System, Palo Alto, California; Stanford University, Stanford, California
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