About This Book
What Does This Book Cover?
Health Anamatics is formed from the intersection of data analytics and health informatics. There is significant demand to take advantage of increasing amounts of data by using analytics for insights and decision-making in healthcare. This comprehensive textbook includes data analytics and health informatics concepts along with applied experiential learning exercises and case studies using SAS Enterprise Miner in the healthcare industry setting. The intersection of distinct areas enables connections between data analytics, clinical informatics, and technical software to maximize learning outcomes.
Is This Book for You?
This textbook is intended for professionals, lifelong learners, senior-level undergraduates, and graduate-level students, it can be used for professional development courses, health informatics courses, health analytics courses, and specialized industry track courses.
What Are the Prerequisites for This Book?
An introductory statistics course and an introductory computer applications course are the recommended prerequisites for this book. Topics in an introductory statistics course might include descriptive statistics (frequency, central tendency, and variation) and inferential statistics (sampling, probability, correlation, and experimental design). Topics included in an introductory computer applications course might include computer hardware, productivity software (Microsoft Office, Excel, Word), data access and manipulation, and strategic use of technology.
What Should You Know about the Examples?
Experiential learning activities and applications are included in each chapter so that you can gain hands-on experience with SAS in various healthcare disciplines and in real-world settings. The practical nature of this book helps you to integrate healthcare, analytics, and informatics into health anamatics knowledge, skills, and abilities.
Software Used to Develop the Book's Content
SAS Enterprise Miner 14 is the graphical user interface (GUI) software for data mining and analytics.
Example Code and Data
You can access the example code and data for this book by linking to its author page at https://support.sas.com/woodside.
About the Author
Dr. Joseph M. Woodside is an Assistant Professor of Business Intelligence and Analytics at Stetson University teaching undergraduate, graduate, and executive courses on analytics, health informatics, business analysis, and information systems. He has been a SAS user for over ten years and is responsible for updating the analytics learning goals and course content for the SAS Joint Certificate Program. Before accepting the Business Intelligence and Analytics position at Stetson, Dr. Woodside worked with KePRO, a national healthcare management company, as the Vice President of Health Intelligence, with responsibility for healthcare applications, informatics, business intelligence, data analytics, customer relationship management, employee wellness online platforms, cloud-based systems deployment strategy, technology roadmaps, database management systems, multiple contract sites, and program management. Dr. Woodside previously held positions with Kaiser Permanente, with responsibility for HIPAA Electronic Data Interchange (EDI), national claims and electronic health record implementations, National Provider Identifiers, cost containment financial analytics, and various data analytic initiatives. Learn more about this author by visiting his author page at http://support.sas.com/woodside. There you can download free book excerpts, access example code and data, read the latest reviews, get updates, and more.
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