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.
