Facilitates diagnostic and therapeutic decision making for a wide range of common and often complex problems faced in outpatient and inpatient medicine. This title features comprehensive algorithmic decision trees that guide you through more than 245 disorders organized by sign, symptom, problem, or laboratory abnormality. Num Pages: 768 pages, Approx. 257 illustrations. BIC Classification: MJA. Category: (P) Professional & Vocational. Dimension: 283 x 228 x 31. Weight in Grams: 2268. . 2009. 3rd Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Decision Making in Medicine: An Algorithmic Approach
Publisher: Elsevier - Health Sciences Division
Publication Date: 2009
Language: English
ISBN 10: 0323041078
ISBN 13: 9780323041072
Binding: Hardcover
Edition: 3rd Edition
Condition: New

About this title

Synopsis

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 245 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.

About the Author

Master Clinician, Department of Medicine, BWH

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