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Statistics & Data Analytics for Health Data Management (Paperback)
Loot Price: R1,583
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Statistics & Data Analytics for Health Data Management (Paperback)
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Introducing Statistics & Data Analytics for Health Data
Management by Nadinia Davis and Betsy Shiland, an engaging new text
that emphasizes the easy-to-learn, practical use of statistics and
manipulation of data in the health care setting. With its unique
hands-on approach and friendly writing style, this vivid text uses
real-world examples to show you how to identify the problem, find
the right data, generate the statistics, and present the
information to other users. Brief Case scenarios ask you to apply
information to situations Health Information Management
professionals encounter every day, and review questions are tied to
learning objectives and Bloom's taxonomy to reinforce core content.
From planning budgets to explaining accounting methodologies,
Statistics & Data Analytics addresses the key HIM Associate
Degree-Entry Level competencies required by CAHIIM and covered in
the RHIT exam. Meets key HIM Associate Degree-Entry Level
competencies, as required by CAHIIM and covered on the RHIT
registry exam, so you get the most accurate and timely content,
plus in-depth knowledge of statistics as used on the job. Friendly,
engaging writing style offers a student-centered approach to the
often daunting subject of statistics. Four-color design with ample
visuals makes this the only textbook of its kind to approach bland
statistical concepts and unfamiliar health care settings with vivid
illustrations and photos. Math review chapter brings you
up-to-speed on the math skills you need to complete the text. Brief
Case scenarios strengthen the text's hands-on, practical approach
by taking the information presented and asking you to apply it to
situations HIM professionals encounter every day. Takeaway boxes
highlight key points and important concepts. Math Review boxes
remind you of basic arithmetic, often while providing additional
practice. Stat Tip boxes explain trickier calculations, often with
Excel formulas, and warn of pitfalls in tabulation. Review
questions are tied to learning objectives and Bloom's taxonomy to
reinforce core content and let you check your understanding of all
aspects of a topic. Integrated exercises give you time to pause,
reflect, and retain what you have learned. Answers to integrated
exercises, Brief Case scenarios, and review questions in the back
of the book offer an opportunity for self-study. Appendix of
commonly used formulas provides easy reference to every formula
used in the textbook. A comprehensive glossary gives you one
central location to look up the meaning of new terminology.
Instructor resources include TEACH lesson plans, PowerPoint slides,
classroom handouts, and a 500-question Test Bank in ExamView that
help prepare instructors for classroom lectures.
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