9781496362780-1496362780-Algorithmic Diagnosis of Symptoms and Signs

Algorithmic Diagnosis of Symptoms and Signs

ISBN-13: 9781496362780
ISBN-10: 1496362780
Edition: 4
Author: Dr. R. Douglas Collins MD
Publication date: 2017
Publisher: LWW
Format: Paperback 660 pages
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Book details

ISBN-13: 9781496362780
ISBN-10: 1496362780
Edition: 4
Author: Dr. R. Douglas Collins MD
Publication date: 2017
Publisher: LWW
Format: Paperback 660 pages

Summary

Algorithmic Diagnosis of Symptoms and Signs (ISBN-13: 9781496362780 and ISBN-10: 1496362780), written by authors Dr. R. Douglas Collins MD, was published by LWW in 2017. With an overall rating of 4.4 stars, it's a notable title among other Diagnosis (Medicine) books. You can easily purchase or rent Algorithmic Diagnosis of Symptoms and Signs (Paperback) from BooksRun, along with many other new and used Diagnosis books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $16.8.

Description

Designed for quick reference, Algorithmic Diagnosis of Symptoms and Signs: A Cost-Effective Approach equips you to effectively interpret more than 230 of the most common symptoms and signs. The ideal aid for the busy clinician, this handy, portable resource promotes a cost-effective patient workup, explaining which diagnostic tests are most appropriate (and when such tests are not indicated). Comprehensive updates throughout put the very latest diagnostic approaches at your fingertips.
Features:

  • Evaluate patients efficiently using clear, step-by-step algorithms that spell out what to look for, what tests to order, what differentials to consider, and when to refer to a specialist.
  • Master essential clinical skills with a new section on “Getting the most out of your history and physical examination.”
  • Effectively evaluate more conditions through new algorithms for various symptoms and laboratory tests, including algorithms representing diseases that are symptoms of other diseases.
  • Recognize diagnostic alternatives at a glance thanks to differential diagnostic tables.
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