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Essentials of Statistics in Health Information Technology

Author(s): Carol E. Osborn, PhD, RHIA, The Ohio State University Health System, Ohio
Details:
  • ISBN-13: 9780763750343
  • ISBN-10:0763750344
  • Paperback    292 pages      © 2008
Price: $140.95 US List
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Instructor Resources: PowerPoints, TestBank

 

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.


Chapter 1 Basic Statistical Data Used in Acute Care Facilities
Key Terms
Learning Objectives
Introduction to Frequency Distributions
Ratios, Proportions, and Rates
Hospital Statistics
Case-Mix Statistical Data
Statistical Data Used in Ambulatory Care Facilities
Conclusion
Appendix 1-A

Chapter 2 Population Based Morbidity and Mortality Measures
Key Terms
Learning Objectives
Population Based Mortality Measures
National Notifiable Diseases Surveillance System
Public Health Statistics and Epidemiological Information
National Vital Statistics System
Conclusion
Appendix 2-A

Chapter 3 Graphic Display of Data
Key Terms
Learning Objectives
Construction of Tables
Charts and Graphs
Conclusion
Appendix 3-A

Chapter 4 Introduction to Measurement
Key Terms
Learning Objectives
What is Measurement
Validity
Reliability
Timeliness
Scales of Measurement
Conclusion
Appendix 4-A

Chapter 5 Measures of Central Tendency and Variability
Key Terms
Learning Objectives
Measures of Central Tendency
Measures of Variability
Grouped Frequency Distributions
Percentiles
Conclusion
Appendix 5-A

Chapter 6 The Normal Distribution and Statistical Inference
Key terms
Learning Objectives
Characteristics of the Normal Distribution
The Standard Normal Distribution
Statistical Inference
Central Limit Theorem
Standard Error of the Mean
Confidence Intervals
Sampling Methods
Using Computer Software to Solve Problems
Conclusion
Appendix 6-A

Chapter 7 Hypothesis Testing and Statistical Inference
Key Terms
Learning Objectives
Hypothesis Testing and Statistical Significance
Level of Significance
The p value
The Standard Normal Distribution and the z Test for Comparing Population Means
The t Test
Conclusion
Appendix 7-A

Chapter 8 Measures of Association
Key Terms
Learning Objectives
Characteristics of Pearson r
Calculation of Pearson r
The Spearman Rho Rank Order Correlation Coefficient
Chi Square (2) Tests
Conclusion
Appendix 8-A

Appendix A Glossary

Appendix B Statistical Tables

Appendix C Answers and Solutions


Carol E. Osborn, PhD, RHIA-The Ohio State University Health System, Ohio


Carol E. Osborn, PhD, RHIA, earned an undergraduate degree in health information management from Mercy College of Detroit, a master’s degree in health sciences education and evaluation from the State University of New York at Buffalo, and a PhD in research and evaluation from The Ohio State University.

Dr. Osborn is currently the Assistant Director, Medical Information Management, The Ohio State University Medical Center, and is responsible for compliance, documentation improvement, and forms management. She also serves on The Ohio State University Institutional Review Board. Dr. Osborn has spent most of her career in the academic setting, teaching at both the University of Illinois at Chicago and The Ohio State University. She has also consulted in a variety of health care settings including acute care, specialty care, and health-care related organizations. She was part of the allied health education consulting team to the Ministry of Health, Kingdom of Saudi Arabia. She has also served as consultant to HIM baccalaureate degree programs.

Dr. Osborn has been active in professional associations at the state and national levels. She has held numerous local and state offices in the states of Michigan, Illinois and Ohio, and has been a presenter at state and national meetings. Nationally, she has served on the Council of Education, Sub-Panel for Accreditation of Academic Programs, the Joint Committee on Education, and the Panel of Accreditation Surveyors. She is currently on the Editorial Review Board for the AHIMA electronic Journal of HIM Perspectives.

Dr. Osborn has authored articles published in the Journal of the American Health Information Management, and chapters in AHIMA’s texts on Health Information Management and Health Information Technology.

  • "I was impressed with the clarity and simplicity with which the author explains healthcare statistics. The book is easy to read and the many tables and examples explain the concepts well. The exercises are reasonable yet challenging. Instructors in HIT programs would be smart to consider this book for teaching healthcare statistics.  Practicing health information managers and quality/process improvement managers would also be smart to pick up this book for review or to finally understand what they didn't learn in school but need to know today for healthcare data analysis."

    —Doody's Book Review Service, November 2007

    Doody's Weighted Numerical Score: 94 - 4 Stars!

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ISBN-13: 9780763750343

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