The Hands-on Guide to Data Interpretation - Drew Provan; Sasha Abraham; Rashmi Madhu; Kunal Kulkarni

The Hands-on Guide to Data Interpretation

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Autor: Drew Provan; Sasha Abraham; Rashmi Madhu; Kunal Kulkarni

Wydawnictwo: John Wiley Sons
ISBN: 9781405152563
EAN:
Format: ...
Oprawa: miękka
Stron: 264
Data wydania: 2009-01-01
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Not sure how to interpret the wealth of data in front of you? Do you lack confidence in applying the results of investigations to your clinical decision making? Then this pocket-sized, quick reference guide to data interpretation may be just right for you. The Hands-on Guide to Data Interpretation is the perfect companion for students, doctors, nurses and other health care professionals who need a reference guide on the ward or when preparing for exams. It focuses on the most common investigations and tests encountered in clinical practice, providing concise summaries of how to confidently interpret investigative findings and, most importantly, how to apply this to clinical decision making. The benefits of this book include: An overview of the normal ranges of test results, followed by a consideration of the differential diagnoses suggested by variance from these values Arranged by system to allow quick access to the key investigations encountered in different specialties A summary 'patient data' chapter to bring the different specialties together, providing an overview to completing investigation documentation and charts Summary table and bullet point format, with a full index, to aid rapid retrieval of information Each chapter reviewed by a specialist to ensure an accurate, practical approach to data interpretation Take the stress out of data interpretation with The Hands-on Guide ! "It provides an excellent reminder of background physiology with clear explanations of how this relates to tests and their clinical application. For those doctors in primary care, it is also a useful tool and will be particularly helpful in interpreting those slightly aberrant results that fall into your inbox." (InnovAit, 2 February 2012) Forma t: Softbound text consisting of preface, summary of text abbreviations, and 16 chapters, including index. Audience : Students in medicine and health sciences, interns, residents, physicians, nurses, and other medical professionals for which clinical data interpretation is critical to patient care and management. Purpose : This is a pocket-sized reference containing supporting information appropriate to clinical application. The use of investigative resources and input by experts in specific medical disciplines help focus the use of data to support and minimize challenges associated with required clinical decision efforts. Content : The text is divided into 16 chapters addressing clinical data associated with normal ranges (clinical/physiological normals), the cardiovascular system, the respiratory system, gastroenterology, endocrinology, the renal system, neurology, hematology, rheumatology, obstetrics and gynecology, ophthalmology, oncology, microbiology, genetics, imaging, and patient data. Except for the first chapter on normal clinical ranges, all chapters follow the same presentation format. While materials are comprehensive and well structured, references to established sources are only incorporated as adaptations. This textbook is a clinical guide that can be carried during clinical rotations in hospital settings. The textbook is well written, as topic coverage supports differential diagnostic parameters leading to sound conclusions. Usability : All chapters cover topics in a clear and articulate manner, with consistent formatting that supports introductory information with specific subtopics in the chapter. Each chapter is replete with normal ranges; reference data including diagrams, images, charts, tables, physiological ranges; and notes from specialists within the areas covered. As noted above, tabular data are adaptations from sources, but there is no comprehensive bibliographic section provided. The price of the edition is appropriate and well within reach of students, practitioners, and professionals. Highlights : The single strength of this textbook is the amount of important and practical data packed into a small, portable textbook. Text presentations are concise and clearly written,

Książka "The Hands-on Guide to Data Interpretation"
Drew Provan; Sasha Abraham; Rashmi Madhu; Kunal Kulkarni