Decision Making in Medicine E-Book

An Algorithmic Approach

Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, General
Cover of the book Decision Making in Medicine E-Book by Stuart B. Mushlin, MD, Harry L. Greene II, MD, Elsevier Health Sciences
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Author: Stuart B. Mushlin, MD, Harry L. Greene II, MD ISBN: 9780323070768
Publisher: Elsevier Health Sciences Publication: November 27, 2009
Imprint: Mosby Language: English
Author: Stuart B. Mushlin, MD, Harry L. Greene II, MD
ISBN: 9780323070768
Publisher: Elsevier Health Sciences
Publication: November 27, 2009
Imprint: Mosby
Language: English

This popular reference facilitates diagnostic and therapeutic decision making for a wide range of common and often complex problems faced in outpatient and inpatient medicine. Comprehensive algorithmic decision trees guide you through more than 250 disorders organized by sign, symptom, problem, or laboratory abnormality. The brief text accompanying each algorithm explains the key steps of the decision making process, giving you the clear, clinical guidelines you need to successfully manage even your toughest cases.

  • An algorithmic format makes it easy to apply the practical, decision-making approaches used by seasoned clinicians in daily practice.

  • Comprehensive coverage of general and internal medicine helps you successfully diagnose and manage a full range of diseases and disorders related to women’s health, emergency medicine, urology, behavioral medicine, pharmacology, and much more.

  • A Table of Contents arranged by organ system helps you to quickly and easily zero in on the information you need.

  • More than a dozen new topics focus on the key diseases and disorders encountered in daily practice.

  • Fully updated decision trees guide you through the latest diagnostic and management guidelines.

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This popular reference facilitates diagnostic and therapeutic decision making for a wide range of common and often complex problems faced in outpatient and inpatient medicine. Comprehensive algorithmic decision trees guide you through more than 250 disorders organized by sign, symptom, problem, or laboratory abnormality. The brief text accompanying each algorithm explains the key steps of the decision making process, giving you the clear, clinical guidelines you need to successfully manage even your toughest cases.

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