Visualizing Health Care Statistics: a Data-Mining Approach
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€77.99
19752-5
9781284197525
A01=Dr. J. Burton Browning
A01=Zada T. Wicker
Author_Dr. J. Burton Browning
Author_Zada T. Wicker
big data
Blooms levels on questions
CAHIIM
CAHIIM standards alignment
Category=PB
data mining
data visualization
eq_isMigrated=1
eq_nobargain
health care statistics
health care statistics text
R-Project
Registered Health Information Technician
RHIT
Wicker
Zada Wicker
Product details
- ISBN 9781284197525
- Weight: 652g
- Publication Date: 09 Oct 2020
- Publisher: Jones and Bartlett Publishers, Inc
- Publication City/Country: US
- Product Form: Paperback
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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.
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.
Zada T. Wicker, MBA, RHIT, CCS, CCS-P 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.
Starting his educational career with one of President George Bush’s “1000 points of light” educational reform project, Dr. Browning has worked in public schools, universities, and colleges as administrator, professor, and consultant. His areas of expertise are in Education and Technology
