| Description |
1 online resource (xxix, 340 pages) : illustrations |
| Contents |
Chapter 1. Little big data : mastering existing information as a foundation for big data / Donald A. Donahue, Jr. -- chapter 2. Managing unstructured data in a health care setting / David E. Parkhill -- chapter 3. Experiences with linking data systems for analyzing large data / Dilhari DeAlmeida, Suzanne J. Paone, and John A. Kellum -- chapter 4. The ecosystem of federal big data and its use in health care / Ryan H. Sandefer and David T. Marc -- chapter 5. Big data from the push of clinical information : harvesting user feedback for continuing education / Roland Grad, Pierre Pluye, Michael Shulha, David L. Tang, Jonathan Moscovici, Carol Repchinsky, and Jamie Meuser -- chapter 6. Addressing social determinants of health using big data / Gregory D. Stevens -- chapter 7. An international perspective : institutionalizing quality improvement through data utilization at a multicountry, multiclinic level / Martine Etienne-Mesubi, Peter Memiah, Ruth Atukunda, Constance Shumba, Francesca Odhiambo, Mercy Niyang, Barbara Bastien, Patience Komba, Eva Karorero, Mwansa Mulenga, Lanette Burrows, and Kristen Stafford -- chapter 8. Big data : architecture and its enablement / Bruce Johnson -- chapter 9. Health data governance : balancing best practices for data governance and management with user needs / Linda Dimitropoulos and Charles (Chuck) Thompson -- chapter 10. Roadblocks, regulation, and red tape : how American health policy and industry norms threaten the big data revolution / Matthew Dobra, Dorothy Weinstein, and Christopher Broyles -- chapter 11. Education and training of health informaticists / Lynda R. Hardy -- chapter 12. Interactive visualization / Catherine Plaisant, Megan Monroe, Tamra Meyer, and Ben Shneiderman -- chapter 13. Driving successful population health management and achieving triple aim with clinical analytics / Kim S. Jayhan -- chapter 14. Improving decision-making using health data analytics / Margrét V. Bjarnadóttir, Ritu Agarwal, Kenyon Crowley, QianRan Jin, Sean Barnes, and Kislaya Prasad -- chapter 15. Measuring e-Health impact : an e-Health evaluation framework that leverages process control theory and big data analytics / Derek Ritz |
| Summary |
This book 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, it presents the current thinking of academic and industry researchers and leaders from around the world. Highlighting lessons learned from the case studies, it 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. -- Edited summary from book |
| Notes |
"An Auerbach book." |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
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Online resource; title from resource home page (ebrary, viewed February 2, 2016) |
| Subject |
Medical informatics.
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Big data.
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Medical care -- Data processing
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Public health administration -- Data processing
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Health services administration -- Data processing
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Statistics -- Methodology
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Electronic Data Processing
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Medical Informatics
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Data Collection
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POLITICAL SCIENCE -- Public Policy -- Social Security.
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POLITICAL SCIENCE -- Public Policy -- Social Services & Welfare.
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Big data
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Health services administration -- Data processing
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Medical care -- Data processing
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Medical informatics
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Public health administration -- Data processing
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| Form |
Electronic book
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| Author |
Marconi, Katherine, editor.
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Lehmann, Harold P., editor.
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| ISBN |
9781482229257 |
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1482229250 |
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0429171811 |
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9780429171819 |
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