TY  - BOOK
AU  - Wicker,Zada T.
AU  - Browning,J.Burton
TI  - Visualizing health care statistics: a data-mining approach 
SN  - 9781284197525 [paperback]
PY  - 2021///
CY  - Burlington, MA : 
PB  - Jones & Bartlett Learning, 
KW  - Data Mining
KW  - Data Interpretation, Statistical
KW  - Data Collection
KW  - Health Information Management
N1  - Includes bibliographical references and index; 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; Adult
N2  - "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"--
ER  -