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Visualizing Health Care Statistics: A Data-Mining Approach (Hardcover, 2nd Revised edition)
Loot Price: R1,969
Discovery Miles 19 690
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Visualizing Health Care Statistics: A Data-Mining Approach (Hardcover, 2nd Revised edition)
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Visualizing Health Care Statistics: A Data-Mining Approach is an
engaging, introduction to health care statistics that demonstrates
how to visualize health care statistics by using Microsoft Excel
and R-Project (open source statistical software) along with
hands-on examples using real-world data. In each chapter, readers
are encouraged to apply statistical knowledge to real-world health
care situations. Through this approach, the reader develops data
gathering and analysis skills, while learning how to report and
present the data in an impactful way. Key Features: • A breadth
of real-world, current health data, including global examples to
put health care into a worldwide context. • An introduction to
the modern computer software that readers will use in their careers
to apply statistics, including Excel and open-source R-Project. •
A data-mining approach helps readers understand how big data can be
used systematically to increase health care quality and safety
while cutting costs. • Data visualization in each chapter to
highlight the importance of reporting data to end-users in a
meaningful way. • Alignment with new CAHIIM standards, and notes
those standards throughout the text. • An ideal resource for
preparing for the Registered Health Information Technician (RHIT)
exam. • Helpful appendices including common abbreviations used in
statistics, formulas for health care statistics, resources for
further information, CAHIIM competency exercises, and more.
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