Big Data and Health Analytics

ISBN-13: 9781482229233 / Angielski / Twarda / 2014 / 382 str.

Katherine Marconi; Harold Lehmann

Opis

Data availability is surpassing existing paradigms for governing, managing, analysing, and interpreting health data. This volume 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.

Recenzje

This volume targets crucial members of the teams who will be needed to unlock the potential of big data: health care and medical professionals, scientists, and their students. It engages and grounds its readers in the issues to be faced by showing how health care practitioners and organizations are linking data within and across their medical practice on scales that only now have become possible. ... I expect that readers will enjoy the nontechnical language and case study presentation by which challenges of big health care data are presented by the authors of the chapters to follow. ... an accessible, excellent foundation for further specialized study in health analytics and data management.
—Karen Bandeen-Roche, PhD, Core Faculty, Center on Aging and Health, Johns Hopkins University

Spis treści

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.

O autorze

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