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Big data and health analytics

Contributor(s): Marconi, Katherine [Editor] | Lehmann, Harold [Editor].
Publisher: Boca Raton CRC Press 2015Description: xxix, 352 p.ISBN: 9781482229233.Subject(s): Medical informatics | Public health administration - Data processing | Health services administration - Data processing | Medical care - Data processing | Big dataDDC classification: 362.1028557 Summary: Features • Provides case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery • Highlights valuable lessons learned from the case studies • Supplies readers with a foundation for further specialized study in health analytics and data management • Uses accessible, non-technical language for health care professionals who may not have an IT and analytics background • Includes links to websites, videos, articles, and other online content to expand and support the primary learning objectives for each major section of the book Summary Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this is not a technical book on the use of statistics and machine-learning algorithms for extracting knowledge out of data, nor a book on the intricacies of database design. Instead, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, this book is accessible to health care professionals who might not have an IT and analytics background. It includes case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery. Highlighting lessons learned from the case studies, the book supplies readers with the foundation required for further specialized study in health analytics and data management. Coverage includes community health information, information visualization which offers interactive environments and analytic processes that support exploration of EHR data, the governance structure required to enable data analytics and use, federal regulations and the constraints they place on analytics, and information security. Links to websites, videos, articles, and other online content that expand and support the primary learning objectives for each major section of the book are also included to help you develop the skills you will need to achieve quality improvements in health care delivery through the effective use of data and analytics. https://www.crcpress.com/Big-Data-and-Health-Analytics/Marconi-Lehmann/p/book/9781482229233
List(s) this item appears in: Big data | VR_Data Analytics, Data Visualization and Big Data
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Non-fiction 362.1028557 B4 (Browse shelf) Available 193448

Table of Contents


1. Little Big Data: Mastering Existing Information as a Foundation for Big Data; Donald A. Donahue, Jr.

2. Managing Unstructured Data in a Health Care Setting; David E. Parkhill

3. Experiences with Linking Data Systems for Analyzing Large Data; Dilhari DeAlmeida, Suzanne Paone, and John Kellum

4. The Ecosystem of Federal Big Data and Its Use in Health Care; Ryan H. Sandefer and David T. Marc

5. Big Data from the Push of Clinical Information: Harvesting User Feedback for Continuing
6. Education; Roland Grad, Pierre Pluye, Michael Shulha, David L. Tang, Jonathan Moscovici, Carol Repchinsky, and Jamie Meuser

7. Addressing Social Determinants of Health Using Big Data; Gregory D. Stevens

8. An International Perspective: Institutionalizing Quality Improvement through Data Utilization at a Multicountry, Multiclinic Level; Martine Etienne-Mesubi, Peter Memiah, Ruth Atukunda,
9. Constance Shumba, Francesca Odhiambo, Mercy Niyang, Barbara Bastien, Patience Komba,
10. Eva Karorero, Mwansa Mulenga, Lanette Burrows, and Kristen Stafford

11. Big Data: Architecture and Its Enablement; Bruce Johnson


12. Health Data Governance: Balancing Best Practices for Data Governance and Management with
13. User Needs; Linda Dimitropoulos and Charles (Chuck) Thompson

14. Roadblocks, Regulation, and Red Tape: How American Health Policy and Industry Norms
15. Threaten the Big Data Revolution; Matthew Dobra, Dorothy Weinstein, and Christopher Broyles

16. Education and Training of Health Informaticists; Lynda R. Hardy

17. Interactive Visualization; Catherine Plaisant, Megan Monroe, Tamra Meyer, and Ben Shneiderman

18. Driving Successful Population Health Management and Achieving Triple Aim with Clinical
19. Analytics; Kim S. Jayhan

20. Improving Decision-Making Using Health Data Analytics; Margrét V. Bjarnadóttir, Ritu
21. Agarwal, Kenyon Crowley, QianRan Jin, Sean Barnes, and Kislaya Prasad

22. Measuring e-Health Impact: An e-Health Evaluation Framework that Leverages Process Control
23. Theory and Big Data Analytics; Derek Ritz


Features
• Provides case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery
• Highlights valuable lessons learned from the case studies
• Supplies readers with a foundation for further specialized study in health analytics and data management
• Uses accessible, non-technical language for health care professionals who may not have an IT and analytics background
• Includes links to websites, videos, articles, and other online content to expand and support the primary learning objectives for each major section of the book
Summary
Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this is not a technical book on the use of statistics and machine-learning algorithms for extracting knowledge out of data, nor a book on the intricacies of database design. Instead, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, this book is accessible to health care professionals who might not have an IT and analytics background. It includes case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery. Highlighting lessons learned from the case studies, the book supplies readers with the foundation required for further specialized study in health analytics and data management. Coverage includes community health information, information visualization which offers interactive environments and analytic processes that support exploration of EHR data, the governance structure required to enable data analytics and use, federal regulations and the constraints they place on analytics, and information security. Links to websites, videos, articles, and other online content that expand and support the primary learning objectives for each major section of the book are also included to help you develop the skills you will need to achieve quality improvements in health care delivery through the effective use of data and analytics.


https://www.crcpress.com/Big-Data-and-Health-Analytics/Marconi-Lehmann/p/book/9781482229233

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