Data Analytics in Healthcare Research: Tools and Strategies
Language: English
Published by AHIMA Press, 2016
- Softcover
- Used
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- Title
- Data Analytics in Healthcare Research: Tools and Strategies
- Author
- David T. Marc, Ryan H. Sandefer
- Publisher
- AHIMA Press
- Publication year
- 2016
- Condition
- acceptable
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1584264438
- ISBN 13
- 9781584264439
Proficiency in data analytics is increasingly important for all health information managers and informaticians. Data Analytics in Healthcare Research: Tools and Strategies provides authentic case studies regarding how to conduct health data analytics and secondary research studies. The cases 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, this textbook, along with online datasets, provides faculty and students a unique opportunity to experience big data from a truly hands-on perspective.
Key Features
Provides research and analytic case studies, including step-by-step instructions for analyzing healthcare data and using statistical techniques
Offers remote access to 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 from a variety of federal agencies including the Health Resources and Services Administration (HRSA), Office of the National Coordinator (ONC), Centers for Medicare and Medicaid Services (CMS), and the US Census Bureau
Utilizes MySQL Workbench, Microsoft Excel, R, and RStudio for statistical analysis and data visualization
About the Authors
David Marc, MBS, CHDA is an assistant professor and the graduate program director for health informatics at the College of St. Scholastica in the Department of Health Informatics and Information Management. Mr. Marc is an accomplished speaker and researcher with a breadth of experience around health data analytics. Previously, Mr. Marc was employed at a biotech company where he developed predictive data models for the diagnosis of neurological and immunological diseases. Mr. Marc has a master's degree in biological sciences from the University of Minnesota.
Ryan Sandefer, MA, CPHIT is an assistant professor and chair of the health informatics and information management department at the College of St. Scholastica. He is an elected board member and the chair of the AHIMA Council for Excellence in Education (CEE), is the past-chair of the CEE's Research and Periodicals Workgroup, and currently sits on the AHIMA Foundation's Graduate Research Network. Mr. Sandefer earned his master's degree in political science at the University of Wyoming.
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