{ "item_title" : "Visualizing Health Care Statistics", "item_author" : [" Zada T. Wicker", "J. Burton Browning "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/28/419/752/1284197522_b.jpg", "price_data" : { "retail_price" : "84.95", "online_price" : "84.95", "our_price" : "84.95", "club_price" : "84.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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