Wicker, Zada T.,
Visualizing health care statistics : a data-mining approach / J. Burton Browning, Zada T. Wicker. - Second edition. - Burlington, MA : Jones & Bartlett Learning, c2021. - xiii, 253 pages : illustrations (black and white) ; 28 cm.
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.
"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"--
Adult
Text in English
9781284197525 [paperback]
2020007462
Data Mining
Data Interpretation, Statistical
Data Collection
Health Information Management
W 26.55.I4
Visualizing health care statistics : a data-mining approach / J. Burton Browning, Zada T. Wicker. - Second edition. - Burlington, MA : Jones & Bartlett Learning, c2021. - xiii, 253 pages : illustrations (black and white) ; 28 cm.
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.
"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"--
Adult
Text in English
9781284197525 [paperback]
2020007462
Data Mining
Data Interpretation, Statistical
Data Collection
Health Information Management
W 26.55.I4