The Hands-on Guide to Data Interpretation
eBook - ePub

The Hands-on Guide to Data Interpretation

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

The Hands-on Guide to Data Interpretation

About this book

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!

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Yes, you can access The Hands-on Guide to Data Interpretation by Sasha Abraham,Kunal Kulkarni,Rashmi Madhu,Drew Provan in PDF and/or ePUB format, as well as other popular books in Medicine & Internal Medicine & Diagnosis. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Preface
  5. Acknowledgements
  6. Abbreviations
  7. Chapter 1: NORMAL RANGES
  8. Chapter 2: CARDIOVASCULAR
  9. Chapter 3: RESPIRATORY
  10. Chapter 4: GASTROENTEROLOGY
  11. Chapter 5: ENDOCRINOLOGY
  12. Chapter 6: RENAL
  13. Chapter 7: NEUROLOGY
  14. Chapter 8: HAEMATOLOGY
  15. Chapter 9: RHEUMATOLOGY
  16. Chapter 10: OBSTETRICS AND GYNAECOLOGY
  17. Chapter 11: OPHTHALMOLOGY
  18. Chapter 12: ONCOLOGY
  19. Chapter 13: MICROBIOLOGY
  20. Chapter 14: GENETICS
  21. Chapter 15: IMAGING
  22. Chapter 16: PATIENT DATA
  23. Index