University of Cebu-Banilad Library catalog › Details for: Visualizing health care statistics : a data-mining approach /

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Visualizing health care statistics : a data-mining approach / J. Burton Browning, Zada T. Wicker.

By: Wicker, Zada T [author.]Contributor(s): Browning, J. Burton [author.]Material type: Text

TextPublisher: Burlington, MA : Jones & Bartlett Learning, c2021Edition: Second editionDescription: xiii, 253 pages : illustrations (black and white) ; 28 cmContent type: text Media type: unmediated Carrier type: volume ISBN: 9781284197525 [paperback]Subject(s): Data Mining | Data Interpretation, Statistical | Data Collection | Health Information ManagementDDC classification:

Contents:

Chapter 1 Introduction to health care statistics -- Chapter 2 Central tendency, variance, and variability -- Chapter 3 Patient data -- Chapter 4 Occupancy and utilization data -- Chapter 5 Morbidity and mortality data -- Chapter 6 Autopsy data -- Chapter 7 Infection, consultation, and other data -- Chapter 8 Health information management statistics -- Chapter 9 Research methodology and ethics -- Chapter 10 Data collection and reporting methods -- Chapter 11 The future of health care statistics.

Summary: "This book addresses the computations that are needed in order to help a student with the RHIT/RHIA certifications. It is a complete statistics textbook which also covers medical ethical considerations. This book introduces new features on how to visualize health care statistics using MS Excel and R-Project statistical software (open source) and more hands-on examples using real-world data from websites provided throughout the chapters. The books covers classical statistics in a general way such that many fields would benefit from using it. "Big Data" aka data-mining is a real market mover these days. With the vast amount of data available in the healthcare sector like financial, clinical, R&D, administration and operational data, big data can derive meaningful insights to improve the operational efficiency of the industry"--

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Item type	Current location	Call number	Status	Date due	Barcode
Reference (MAIN)	College Library Nursing	610.285 W63 2021 (Browse shelf)	Available		3UCBL000027694

Includes bibliographical references and index.

"This book addresses the computations that are needed in order to help a student with the RHIT/RHIA certifications. It is a complete statistics textbook which also covers medical ethical considerations. This book introduces new features on how to visualize health care statistics using MS Excel and R-Project statistical software (open source) and more hands-on examples using real-world data from websites provided throughout the chapters. The books covers classical statistics in a general way such that many fields would benefit from using it. "Big Data" aka data-mining is a real market mover these days. With the vast amount of data available in the healthcare sector like financial, clinical, R&D, administration and operational data, big data can derive meaningful insights to improve the operational efficiency of the industry"--