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Statistics & Data Analytics for Health Data Management Summary

Statistics & Data Analytics for Health Data Management by Nadinia A. Davis (Program Coordinator, Health Information Management and Medical Coding Studies, Delaware Technical Community College, Wilmington, Delaware)

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 Bloom's 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. Meets key HIM Associate Degree-Entry Level competencies, as required by CAHIIM and covered on the RHIT registry exam, so you get the most accurate and timely content, plus in-depth knowledge of statistics as used on the job. Friendly, engaging writing style offers a student-centered approach to the often daunting subject of statistics. 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. Math review chapter brings you up-to-speed on the math skills you need to complete the text. Brief Case scenarios strengthen the text's hands-on, practical approach by taking the information presented and asking you to apply it to situations HIM professionals encounter every day. Takeaway boxes highlight key points and important concepts. Math Review boxes remind you 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 you check your understanding of all aspects of a topic. Integrated exercises give you time to pause, reflect, and retain what you have learned. Answers to integrated exercises, Brief Case scenarios, and review questions in the back of the book offer an opportunity for self-study. Appendix of commonly used formulas provides easy reference to every formula used in the textbook. A comprehensive glossary gives you one central location to look up the meaning of new terminology. Instructor resources include TEACH lesson plans, PowerPoint slides, classroom handouts, and a 500-question Test Bank in ExamView that help prepare instructors for classroom lectures.

About Nadinia A. Davis (Program Coordinator, Health Information Management and Medical Coding Studies, Delaware Technical Community College, Wilmington, Delaware)

Nadinia Davis has over 18 years of full-time teaching experience, encompassing both the associate and baccalaureate HIM levels. She has held program director-level positions in two associate programs, both of which she successfully led to timely accreditation. Nadinia has worked in a variety of capacities, including consultant coding, HIM department management, and revenue cycle director. Nadinia has volunteered for the American Health Information Management Association (AHIMA), including a term on the board of directors. The first edition of FHIM published in 2001 and won the AHIMA Legacy award. She has also written a reimbursement text for AHIMA. Betsy Shiland has authored 2 very successful medical terminology texts, along with a statistics text for health information management students. She is a credentialed coder (CCS, CPC), an EMT, a cancer registrar, and a health data administrator. She taught at Central College in Philadelphia for over 20 years.

Table of Contents

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

Additional information

CIN1455753157G
9781455753154
1455753157
Statistics & Data Analytics for Health Data Management by Nadinia A. Davis (Program Coordinator, Health Information Management and Medical Coding Studies, Delaware Technical Community College, Wilmington, Delaware)
Used - Good
Paperback
Elsevier Health Sciences
20160225
264
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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