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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