Visualizing Health Care Statistics: A Data-Mining Approach

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.