Buch, Englisch, 212 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Routledge Studies in Innovation, Organizations and Technology
Buch, Englisch, 212 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Routledge Studies in Innovation, Organizations and Technology
ISBN: 978-1-03-216934-7
Verlag: Taylor & Francis Ltd
The book provides significant insights and useful guide on how to access and manage big data, in improving healthcare service delivery. The book contributes a fresh perspective, which primarily comes from the complementary use of analytics approach with actor-network theory (ANT), and other techniques, in advancing healthcare service delivery. Accessing and managing healthcare big data have always been a challenging exercise. Due to the sensitivity of the health sector, the focus on patients’ big data is from either technical or social perspective. Thus, the book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constrain the use of patients’ big data for health services. By doing so, the book brings a different dimension and advance health service delivery.
Providing a timely and important contribution to this critical area, this book is a valuable, international resource for academics, postgraduate students and researchers in the areas of IT, big data analytics, data management and health informatics.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1 Introduction 2 A Structuration View in Managing Healthcare Data 3 Open Technology Innovation for Healthcare Services 4 Interaction with Cloud-Hosted Health Data 5 A Framework for Selecting Healthcare Big Data Analytics Tools 6 The Interpretivist and Analytics Approaches for Healthcare Big Data Analytics 7 A Multi-Level Approach for Analysis of Healthcare Big Data 8 Transforming Big Data for Healthcare Service Delivery 9 The Integration of Social Media with Healthcare Big Data for Services 10 Actor-Network Theory View of Healthcare Big Data 11 The Implementation of Big Data Analytics for Healthcare Services 12 The Evaluation of Big Data Analytics Tools for Healthcare Services