Big Data and Health Analytics

Herausgeber: Lehmann, Harold; Marconi, Katherine

• Gebundenes Buch

Produktbeschreibung

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, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.

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Produktdetails

• Verlag: Apple Academic Press Inc.
• Seitenzahl: 382
• Erscheinungstermin: 20. Dezember 2014
• Englisch
• Abmessung: 162mm x 237mm x 22mm
• Gewicht: 704g
• ISBN-13: 9781482229233
• ISBN-10: 1482229234
• Artikelnr.: 40553363

Autorenporträt

Harold Lehmann, M.D., Ph.D., Associate Professor and Interim Director, Division of Health Sciences Informatics School of Medicine, The Johns Hopkins University Katherine Marconi, Ph.D., MS, Professor and Director, Health Informatics Administration, The Graduate School, University of Medicine University College

Inhaltsangabe

Little Big Data: Mastering Existing Information as a Foundation for Big
Data. Managing Unstructured Data in a Health Care Setting. Experiences with
Linking Data Systems for Analyzing Large Data. The Ecosystem of Federal Big
Data and Its Use in Health Care. Big Data from the Push of Clinical
Information: Harvesting User Feedback for Continuing Education. Addressing
Social Determinants of Health Using Big Data. An International Perspective:
Institutionalizing Quality Improvement through Data Utilization at a
Multicountry, Multiclinic Level. Big Data: Architecture and Its Enablement.
Health Data Governance: Balancing Best Practices for Data Governance and
Management with User Needs. Roadblocks, Regulation, and Red Tape: How
American Health Policy and Industry Norms Threaten the Big Data
Revolution.Education and Training of Health Informaticists. Interactive
Visualization. Driving Successful Population Health Management and
Achieving Triple Aim with Clinical Analytics. Improving Decision-Making
Using Health Data Analytics. Measuring e-Health Impact: An e-Health
Evaluation Framework that Leverages Process Control Theory and Big Data
Analytics.