Visualizing Health Care Statistics
Format: Paperback
ISBN13: 9781284197525
Paperback|9781284197525
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Overview
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.
| ISBN-13 | 9781284197525 |
|---|---|
| ISBN-10 | 1284197522 |
| Weight | 1.50 Pounds |
| Dimensions | 8.40 x 0.70 x 10.70 In |
| List Price | $77.95 |
| Edition | 2nd Edition |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | 450 pages |
| Publisher | Jones & Bartlett Learning |
| Published On | 2020-10-09 |
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