Data Analytics in Healthcare Research: Tools and Strategies
| By: | David Marc, Ryan Sandefer |
| Publisher: | American Health Information Management Association (AHIMA) |
| Print ISBN: | 9781584267843 |
| eText ISBN: | 9781584267867 |
| Edition: | 2 |
| Copyright: | 2022 |
| Format: | Reflowable |
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Thoroughly revised and updated! Data analytics proficiency is now, more than ever, important for all health information managers and health informaticians. Data Analytics in Healthcare Research: Tools and Strategies demonstrates how to conduct health data analytics and secondary research studies with authentic case studies that provide experience with databases and statistical software for data extraction, normalization, transformation, visualization, and statistical analyses. By combining open-source data and open-source analytic tools along with online datasets, this textbook provides faculty and students a unique opportunity to experience big data from a truly hands-on perspective.
Key Features
- New! 4-color presentation!
- Provides research and analytic case studies, including step-by-step instructions for analyzing healthcare data and using statistical techniques
- Offers remote access to an SQL healthcare-related database for big data analysis
- Includes access to database queries and statistical platform scripts for use in the classroom
- Uses a database consisting of open-source data integrated from a variety of federal agencies including the Centers for Medicare and Medicaid Services (CMS), the US Census Bureau, the Office of the National Coordinator for Health Information Technology, the Environmental Protection Agency (EPA), the Centers for Disease Control and Prevention, and the Minnesota Department of Health.
- Instructor materials include an Instructor’s Manual with ideas and activities for inside and outside the classroom, a 10-question test bank for each chapter, PowerPoint slides, and lab exercises