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Paperback. Condición: Fair. 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.…

Paperback. Condición: Fair. 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.…

Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.