Decision Making in Medicine: An Algorithmic Approach / Edition 3

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Overview

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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Editorial Reviews

Doody's Review Service
Reviewer: Heather Huang, MD (University of Wisconsin School of Medicine and Public Health)
Description: Designed to facilitate the diagnostic and therapeutic decision-making process, this book consists of comprehensive algorithmic decision trees that guide readers through more than 250 disorders. Brief text accompanies each algorithm and explains the key steps of the decision-making process. The previous edition was published in 1998.
Purpose: The purpose is to present an organized approach to making clinical decisions. It does so by presenting various algorithms that walk readers through how to diagnostically and therapeutically approach signs, symptoms, problems, or laboratory tests that could arise in various clinical internal medicine settings. The algorithms are designed to provide readers with templates that guide the clinical decision-making and thought processes. The additional goal is to minimize unnecessary testing, control medical costs, and provide uniform quality care in the evaluation of patients.
Audience: The book is written for medical practitioners, residents, medical students, nurse practitioners, and physician assistants seeking guidelines for diagnosis.
Features: It covers a wide array of general and internal medicine topics that could be encountered in both outpatient and inpatient settings. The algorithms are organized by organ systems as well as by sign, symptom, problem, or laboratory test. Each algorithm is clearly presented and comprehensively assists readers in considering a wide range of diagnoses. Short descriptions explaining the various steps in the decision-making process of the algorithms are provided on separate pages.
Assessment: While most internal medicine reference books focus on delivering information and knowledge to the reader, this one assists practitioners with the use of that knowledge. Through the use of comprehensive algorithms, it reveals how the clinical decision-making and thought process requires an organized and systematic approach. This book would be a useful reference for any medical practitioner.
From the Publisher
"This book is, quite simply, a triumph…The beauty of the book is the way in which each topic has an algorithm on one page for brevity and clarity and on the opposing page the explanation with its necessary breadth and depth…This book was intriguing, enjoyable to read and represents good value for money."- David Warriner, Barnsley Hospital, Barnsley- British Journal of Hospital Medicine

"While most internal medicine reference books focus on delivering information and knowledge to the reader, this one assists practitioners with the use of that knowledge. Through the use of comprehensive algorithms, it reveals how the clinical decision-making and thought process requires an organized and systematic approach. This book would be a useful reference for any medical practitioner." - Heather Huang, MD, Doody’s Review Service, 4 Stars!

DOODY'S BOOK REVIEW SERVICE

NEW REVIEW — MUSHLIN / Decision Making in Medicine: An Algorithmic Approach, 3rd Edition. Elsevier, 2010, Mushlin, Stuart B., MD, FACP, FACR; Greene, Harry L., II, MD, FACP

Designed to facilitate the diagnostic and therapeutic decision-making process, this book consists of comprehensive algorithmic decision trees that guide readers through more than 250 disorders. Brief text accompanies each algorithm and explains the key steps of the decision-making process. The previous edition was published in 1998.

The purpose is to present an organized approach to making clinical decisions. It does so by presenting various algorithms that walk readers through how to diagnostically and therapeutically approach signs, symptoms, problems, or laboratory tests that could arise in various clinical internal medicine settings. The algorithms are designed to provide readers with templates that guide the clinical decision-making and thought processes. The additional goal is to minimize unnecessary testing, control medical costs, and provide uniform quality care in the evaluation of patients.

The book is written for medical practitioners, residents, medical students, nurse practitioners, and physician assistants seeking guidelines for diagnosis.

It covers a wide array of general and internal medicine topics that could be encountered in both outpatient and inpatient settings. The algorithms are organized by organ systems as well as by sign, symptom, problem, or laboratory test. Each algorithm is clearly presented and comprehensively assists readers in considering a wide range of diagnoses. Short descriptions explaining the various steps in the decision-making process of the algorithms are provided on separate pages.

While most internal medicine reference books focus on delivering information and knowledge to the reader, this one assists practitioners with the use of that knowledge. Through the use of comprehensive algorithms, it reveals how the clinical decision-making and thought process requires an organized and systematic approach. This book would be a useful reference for any medical practitioner.

Weighted Numerical Score: 96 - 4 Stars!

From The Critics
Reviewer: Heather Huang, MD(Rush University Medical Center)
Description: Designed to facilitate the diagnostic and therapeutic decision-making process, this book consists of comprehensive algorithmic decision trees that guide readers through more than 250 disorders. Brief text accompanies each algorithm and explains the key steps of the decision-making process. The previous edition was published in 1998.
Purpose: The purpose is to present an organized approach to making clinical decisions. It does so by presenting various algorithms that walk readers through how to diagnostically and therapeutically approach signs, symptoms, problems, or laboratory tests that could arise in various clinical internal medicine settings. The algorithms are designed to provide readers with templates that guide the clinical decision-making and thought processes. The additional goal is to minimize unnecessary testing, control medical costs, and provide uniform quality care in the evaluation of patients.
Audience: The book is written for medical practitioners, residents, medical students, nurse practitioners, and physician assistants seeking guidelines for diagnosis.
Features: It covers a wide array of general and internal medicine topics that could be encountered in both outpatient and inpatient settings. The algorithms are organized by organ systems as well as by sign, symptom, problem, or laboratory test. Each algorithm is clearly presented and comprehensively assists readers in considering a wide range of diagnoses. Short descriptions explaining the various steps in the decision-making process of the algorithms are provided on separate pages.
Assessment: While most internal medicine reference books focus on delivering information and knowledge to the reader, this one assists practitioners with the use of that knowledge. Through the use of comprehensive algorithms, it reveals how the clinical decision-making and thought process requires an organized and systematic approach. This book would be a useful reference for any medical practitioner.
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Product Details

  • ISBN-13: 9780323041072
  • Publisher: Elsevier Health Sciences
  • Publication date: 11/10/2009
  • Edition description: New Edition
  • Edition number: 3
  • Pages: 768
  • Product dimensions: 8.70 (w) x 11.00 (h) x 1.20 (d)

Meet the Author

Master Clinician, Department of Medicine, BWH

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