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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Zada Wicker has 35 years experience in Health Information Management with 21 of those as a professor. She has extensive experience in curriculum design and course design both in face-to-face and online. Author, Curriculum Designer, Technologist, Educator, Supply, North Carolina
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : 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. N° de réf. du vendeur 00110428914
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : 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. N° de réf. du vendeur CIN1284197522A
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Paperback. Etat : 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! N° de réf. du vendeur S_423869161
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