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Can I read Ramamurthy's Decision Making in Pain Management : an Algorithmic Approach on EtoBox?
Ramamurthy's Decision Making in Pain Management : an Algorithmic Approach by Ameet Nagpal, Miles Day, Maxim S. Eckmann, Brian Boies, Larry C. Driver is a nonfiction available to read on EtoBox.
What is Ramamurthy's Decision Making in Pain Management : an Algorithmic Approach about?
The book "Ramamurthy's Decision Making in Pain Management: An Algorithmic Approach" is not meant to replace in-depth, highly referenced textbooks in pain medicine. It may, nevertheless, be a valuable supplement, providing pain clinicians with a logical, concise, stepwise approach to the identification, diagnosis, and management of various acute or chronic pain conditions or syndromes. There have been great advances in the concepts, approaches, treatment options, and technology in pain medicine, which necessitate significant revision in order to make the book more relevant to the present-day practitioner. This book comprises 15 sections, which includes 145 chapters, which are thoroughly revised and updated. The first and second sections discuss the evaluation of pain and acute pain. The third and fourth sections describe the chronic pain syndromes and cancer pain. The fifth and sixth sections provide details about the head and neck pain and thoracic pain. The seventh and eighth sections cover the low back pain and upper extremity pain. The ninth and tenth sections deal with the lower extremity pain and pediatric pain. The eleventh and twelfth sections focus on pharmacology and opioi
Who reads Ramamurthy's Decision Making in Pain Management : an Algorithmic Approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ameet Nagpal, Miles Day, Maxim S. Eckmann, Brian Boies, Larry C. Driver
- Publisher
- Jaypee Brothers, Medical Publishers Pvt. Ltd
- Published
- 2018
- Language
- EN
- ISBN
- 9789390020362
- Category
- nonfiction
- Subjects
- Management, Medical, Medicine
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