El. knyga: Hands-on Guide to Data Intepretation illustrated edition [Wiley Online]

Abraham et al., clinicians in the UK, offer a concise quick reference to data interpretation for medical students, doctors, nurses, and other health care professionals. Focusing on the most common investigations and tests encountered in clinical practice, they outline how to interpret investigative findings in various body systems, as well as oncology, microbiology, genetics, imaging, patient data, and normal ranges, and how to apply this to decision making. They exclude approaches to interpreting data from other activities such as clinical history taking and examination. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)

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!