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Statistics & Data Analytics for Health Data Management
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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 you how to identify the problem, find the right data, generate the statistics, and present the information to other users. Brief Case scenarios ask you to apply information to situations Health Information Management professionals encounter every day, and review questions are tied to learning objectives and Blooms taxonomy to reinforce core content. From planning budgets to explaining accounting methodologies, Statistics & Data Analytics addresses the key HIM Associate Degree-Entry Level competencies required by CAHIIM and covered in the RHIT exam.
Data sheet
- Publication date
- 2016
- Issue number
- 1
- Cover
- paperback
- Pages count
- 264
- Dimensions (mm)
- 216 x 276
- Weight (g)
- 770
- 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
-
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