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Statistics and data analytics for health data management / Nadinia Davis, Betsy Shiland

By: Contributor(s): Material type: TextTextPublication details: St. Louis, Missouri. : Elsevier, c2017.Description: xi, 247 pages : color illustrations ; 28 cmISBN:
  • 9781455753154
  • 1455753157
Subject(s): Genre/Form: DDC classification:
  • 610.2/1 23
LOC classification:
  • RA409.D38 2017
NLM classification:
  • W 26.5
Contents:
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.
Summary: "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".
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books KMTC:NAIROBI CAMPUS General Stacks RA409.D38 2017 (Browse shelf(Opens below)) Available 30883

Includes index.

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.

"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".

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