Decision Making in Gastroenterology - E-Book

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· Elsevier Health Sciences
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Ebook
320
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About this ebook

Think systematically and follow a logical sequence throughout the steps of diagnostic decisions with Decision-Making in Gastroenterology. This valuable resource is perfect for gastroenterologists and trainees, as well as ER physicians, internists, family medicine physicians, and other specialists who need to make informed decisions about their patients' care on a day-to-day basis. Practical and easy to use, it's filled with diagnostic and treatment algorithms that provide easy-to-follow guidance when encountering patients whose clinical presentation is unfamiliar or complex, or whose treatment path is not completely certain. Each point-of-care algorithm represents a common GI or liver disorder or disease, and offers a concise visual representation that clearly guides you through the steps of efficient and effective decision making. - Contains 80 algorithms covering commonly encountered symptoms and signs, specific gastrointestinal conditions, esophageal disorders, liver conditions, pancreatic diseases, and colorectal conditions - Outlines the key decision points in patient management, providing a wealth of systematic information that ensures you take into account the proper physical signs and test results that will guide your recommendations - Presents an algorithm on one page and instructional text for key nodes within the algorithm on the facing page - Offers a first-line approach to patients with common signs and symptoms in Section 1; Section 2 includes algorithms for the most commonly treated GI disorders - Provides step-by-step decision-making guidance for diagnosis and management of esophageal motility disorders, achalasia, foreign body ingestion, hepatic encephalopathy, celiac disease, irritable bowel syndrome, hepatocellular carcinoma, colonic ischemia, acute pancreatitis, primary biliary cholangitis, biologic therapy in inflammatory bowel disease, immune checkpoint inhibitor colitis, and much more. - Additional digital ancillary content may publish up to 6 weeks following the publication date

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