Advancing Big Data Analytics for Healthcare Service Delivery

This book aims to advance the deployment and use of big data analytics to increase patients' big data usefulness and improve healthcare service delivery. It provides insights and a guide on how to access and manage healthcare big data,using sociotechnical theories,ANT,and ST to examine and explain factors that enable and constrain the use of patients' big data for health services. It is a valuable resource for academics,postgraduate students,and researchers in IT,big data analytics,data management,and health informatics.

Format: Hardback
Length: 196 pages
Publication date: 20 October 2022
Publisher: Taylor & Francis Ltd

In recent years, there has been a notable surge in the interest surrounding big data analytics and the implementation of information technology (IT) solutions to enhance healthcare services. Despite this growing interest, there is a scarcity of resources specifically tailored to addressing the unique needs and challenges associated with big data-driven activities and processes. From an IT solutions perspective, this book aims to advance the deployment and utilization of big data analytics to maximize the value of patient data and improve healthcare service delivery.

The book offers valuable insights and practical guidance on accessing and managing big data, with a particular focus on improving healthcare service delivery. By integrating analytics approaches with actor-network theory (ANT) and other techniques, the book contributes a fresh perspective to the field of healthcare service delivery.

Accessing and managing healthcare big data have always presented significant challenges. Given the sensitive nature of the healthcare sector, the focus on patient data often revolves around technical or social perspectives. Consequently, 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 patient data for health services. By adopting this multidisciplinary approach, the book offers a novel dimension and contributes to the advancement of healthcare service delivery.

This book makes a timely and significant contribution to the field of IT, big data analytics, data management, and health informatics. It serves as a valuable resource for academics, postgraduate students, and researchers seeking to explore the latest developments and advancements in these critical areas.

Weight: 550g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032169330