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: - Introduces Students To How Statistical Techniques Can Be Used To Describe And Make Inferences From Healthcare Data. - Includes Traditional Hospital Statistics Such As Average Length Of Stay And Total Inpatient Service Days. - Uses Examples In Both SPSS And Microsoft Excel.

Published in conjunction with the American Health Information Management Association(r) (AHIMA), this title covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). Computer applications used in the real world are emphasized throughout the book, with only a minimal focus on manual applications.