Basic statistics for health information management technology / Carol E. Osborn.

Includes bibliographical references and index.

Basic statistical data used in acute care facilities -- Population-based morbidity and mortality measures -- Graphic display of data -- Introduction to measurement -- Measures of central tendency and variability -- The normal distribution and statistical inference -- Hypothesis testing and statistical inference -- Measures of association.

From the author of Statistical Applications for Health Information Management, this text provides a solid foundation of the fundamentals of statistics in health information technology in an accessible and reader-friendly format. A single case study is woven throughout the book to serve as an example for each statistical process covered. Attention is given to morbidity and mortality measures, graphical display of data, measurement, central tendency and variability, normal distribution and statistical inference, and inferential statistics. Written specifically for health information technology students who need a basic understanding of the topic, this text is ideal for those with a modest background in mathematics and no prior training in statistics. Features: bull; Introduces students to how statistical techniques can be used to describe and make inferences from healthcare data. bull; Includes traditional hospital statistics such as average length of stay and total inpatient service days. bull; Uses examples in both SPSS and Microsoft Exce

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