Statistics & Data Analytics for Health Data Management, 1st Edition
Paperback
Introducing Statistics & Data Analytics for Health Data Management by Nadinia Davis and Betsy Shiland, an engaging new text that emphasizes the easy-to-learn, practical use of statistics and manipulation of data in the health care setting. With its unique hands-on approach and friendly writing style, this vivid text uses real-world examples to show students how to identify the problem, find the right data, generate the statistics, and present the information to other users. Brief Case scenarios ask your students to apply information to situations Health Information Management professionals encounter every day, and review questions are tied to learning objectives and Bloom’s taxonomy to reinforce core content. From planning budgets to explaining accounting methodologies, it addresses the key HIM Associate Degree-Entry Level competencies required by CAHIIM and covered in the RHIT exam.
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- Meets key HIM Associate Degree-Entry Level competencies, as required by CAHIIM and covered on the RHIT registry exam, so your students get the most accurate and timely content, plus in-depth knowledge of statistics as used on the job.
- Four-color design with ample visuals makes this the only textbook of its kind to approach bland statistical concepts and unfamiliar health care settings with vivid illustrations and photos.
- Friendly, engaging writing style offers a student-centered approach to the often daunting subject of statistics.
- Math review chapter brings students up-to-speed on the math skills they need to complete the text.
- Brief Case scenarios strengthen the text’s hands-on, practical approach by taking the information presented and asking students to apply it to situations HIM professionals encounter every day.
- Takeaway boxes highlight key points and important concepts.
- Math Review boxes remind students of basic arithmetic, often while providing additional practice.
- Stat Tip boxes explain trickier calculations, often with Excel formulas, and warn of pitfalls in tabulation.
- Review questions are tied to learning objectives and Bloom’s taxonomy to reinforce core content and let students check their understanding of all aspects of a topic.
- Integrated exercises give students time to pause, reflect, and retain what they have learned.
- Answers to exercises, Brief Case scenarios, and review questions in the back of the book offer students an opportunity for self-study.
- A comprehensive glossary gives students one central location to look up the meaning of new terminology.
- Appendix of commonly used formulas provides easy reference to every formula used in the textbook.
- Instructor resources include TEACH lesson plans, PowerPoint slides, classroom handouts, and a 500-question Test Bank in ExamView to help prepare you for classroom lectures.
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Unit I: Understanding the Basics of Statistics and Data Analytics
1. Introduction to Statistical Terms and Concepts in Health Data Management
2. Basic Math Concepts, Central Tendency and Dispersion
3. Data Presentation
Unit II: Applications of Descriptive Statistics and Data Analysis in Health Care Settings
4. Administrative Data
5. Clinical Facility Data
6. Public Health Data
7. Departmental Data
8. Financial Data
Unit III: Advanced Data Analysis Techniques
9. Scrubbing and Mapping Data
10. Predicting Data