Osborn C.E. Statistical Applications for Health Information Management

N.-Y.: Jones & Bartlett Learning, 2005. - 401 p.This text was written specifically for health information management students enrolled in baccalaureate degree programs and for practicing health information management professionals. This text focuses on applying statistical techniques to problems in health care. Because the focus here is on application, it is assumed that the student has had a previous course in probability theory and the normal distribution. This text is set up so that students can either use the Jones and Bartlett Publishers website that supports this book or input the data for each problem using their own statistical software. It is not the intent of this book to teach the student how to use SPSS, Microsoft Excel, or any other type of statistical package or electronic spreadsheet. These programs are included in this text as examples only; I am not endorsing any of these products. My goal in writing this book was to introduce students and professionals to how statistical techniques can be used to describe and make inferences from health care data. There are many statistical books available on the market, but none is directed specifically to the health information management profession. Also, because there are other texts that introduce the student to traditional hospital statistics such as average length of stay and total inpatient service days, they are not covered in this text.Commonly used frequency measures in health care
Graphic display of data
Introduction to measurement
Measures of central tendency and variability
The normal distribution and statistical inference
Hypothesis testing of the difference between two population means
Analysis of variance
Correlation and linear regression
Chi-square
Nonparametric methods
Appendix. Frequency distribution of discharges by DRG, Critical Care Hospital, 2004 : an index to the number of cases by DRG