Decision Making in Medicine 3rd edition

 

Book Metadata

• Full Title: Decision Making in Medicine: An Algorithmic Approach, Third Edition.

• Editors: Stuart B. Mushlin, MD, FACP, FACR, and Harry L. Greene II, MD.

• Authors: Contributions are provided by multiple section editors, and a comprehensive list of individual contributors is detailed in the front matter.

• Year of Publication: 2010.

• Total Number of Pages: 753 pages.

Copyright Summary

This work is published by Mosby, Inc., an affiliate of Elsevier Inc., under ISBN 978-0-323-04107-2. This Third Edition carries a 2010 copyright, following previous editions published in 1992 and 1998. 

The copyright page includes a standard legal notice prohibiting unauthorized reproduction and a clinical disclaimer advising practitioners to verify drug dosages and safety precautions independently due to the evolving nature of medical knowledge.

Preface Analysis

The authors’ primary intent is to provide an orderly, systematic approach to medical diagnosis using evidence-based guidelines tempered by clinical expertise. 

The book aims to fill a critical clinical gap by offering a template to minimize unnecessary testing, control medical costs, and provide uniform, high-quality care through a decision-tree format. The intended audience is broad, encompassing practicing physicians, residents, medical students, nurse practitioners, and physician assistants seeking structured diagnostic pathways. 

While the algorithms reflect the expertise of the contributors, the authors emphasize that they are not "cookbooks" and allow for the individual "art of medicine."

Chapter List

• GENERAL MEDICINE

• INTERNAL MEDICINE

• CARDIOLOGY

• DERMATOLOGY

• ENDOCRINOLOGY

• GASTROENTEROLOGY

• HEMATOLOGY/ONCOLOGY

• INFECTIOUS DISEASES

• NEPHROLOGY

• NEUROLOGY

• OCULAR

• PULMONARY DISEASE

• RHEUMATOLOGY

• UROLOGY

• WOMEN’S HEALTH

• EMERGENCY MEDICINE

• BEHAVIORAL MEDICINE

• PHARMACOLOGY

Clinical Value Prop: Why Read This?

For the practicing physician, this book functions as a high-efficiency clinical navigator. Each topic is structured with explanatory text on the left-hand page and a corresponding algorithm on the right-hand page, allowing for rapid consultation during a patient evaluation. 

By following these evidence-based decision trees, clinicians can more effectively arrive at an appropriate diagnosis or therapy while avoiding the pitfalls of redundant diagnostic testing. It is a comprehensive reference that bridges the gap between raw medical data and practical, point-of-care application.

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