Advancing Big Data Analytics for Healthcare Service Delivery
eBook - ePub

Advancing Big Data Analytics for Healthcare Service Delivery

  1. 200 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Advancing Big Data Analytics for Healthcare Service Delivery

About this book

In recent years, there has been steady increase in the interest shown in both big data analytics and the use of information technology (IT) solutions to improve healthcare services. Despite the growing interest, there are limited materials, to addressing the needs and challenges posed by the activities and processes including the use of big data. From IT solutions' perspectives, this book aims to advance the deployment and use of big data analytics to increase patients' big data usefulness and improve healthcare service delivery.

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.

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Yes, you can access Advancing Big Data Analytics for Healthcare Service Delivery by Tiko Iyamu in PDF and/or ePUB format, as well as other popular books in Business & Information Management. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Taylor & Francis
Year
2022
Print ISBN
9781032169330
eBook ISBN
9781000750560
Edition
1
Topic
Business
Subtopic
Information Management
Index
Business

Table of contents

  1. Cover
  2. Half Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. List of Figures
  8. List of Tables
  9. Acknowledgements
  10. Preface
  11. 1 Introduction
  12. 2 A Structuration View in Managing Healthcare Data
  13. 3 Open Technology Innovation for Healthcare Services
  14. 4 Interaction with Cloud-Hosted Health Data
  15. 5 A Framework for Selecting Healthcare Big Data Analytics Tools
  16. 6 The Interpretivist and Analytics Approaches for Healthcare Big Data Analytics
  17. 7 A Multi-Level Approach for Analysis of Healthcare Big Data
  18. 8 Transforming Big Data for Healthcare Service Delivery
  19. 9 The Integration of Social Media with Healthcare Big Data for Services
  20. 10 Actor-Network Theory View of Healthcare Big Data
  21. 11 The Implementation of Big Data Analytics for Healthcare Services
  22. 12 The Evaluation of Big Data Analytics Tools for Healthcare Services
  23. Index