Big data and health analytics / edited by Katherine Marconi, the Graduate School, University of Maryland University College, Harold Lehmann, School of Medicine, The Johns Hopkins University.

Format:

Book

Contributor:

Marconi, Katherine, editor.

Lehmann, Harold, editor.

Language:

English

Subjects (All):

Medical care--Data processing.

Medical care.

Physical Description:

1 online resource (374 p.)

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press : Taylor & Francis Group, 2015.

Language Note:

English

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

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.

Notes:

An Auerbach book.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-04-007493-6

0-429-17181-1

1-4822-2925-0

9780429171819

OCLC:

899156669