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Advancing big data analytics for hea...

Iyamu, Tiko.

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Advancing big data analytics for healthcare service delivery

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advancing big data analytics for healthcare service delivery/ Tiko Iyamu.
Author:	Iyamu, Tiko.
Published:	Abingdon, Oxon ;Routledge, : 2023.,
Description:	1 online resource (xvi, 196 p.) :ill. (black and white).
[NT 15003449]:	Healthcare data management : structuration view -- Open technology innovation for healthcare services -- Interaction with cloud-hosted health data -- A framework for selecting healthcare big data analytics tools -- Interpretivist and analytics approaches for healthcare big data analytics -- A multi-level approach for healthcare big data analysis -- Transforming big data for service delivery -- Integration of social media with healthcare big data for services -- Actor-network theory view of healthcare big data -- Implementation of big data analytics for healthcare services -- Evaluating big data analytics tools for healthcare services.
Subject:	Medical informatics - Data processing. -
Online resource:	https://www.taylorfrancis.com/books/9781003251064
ISBN:	9781003251064

Advancing big data analytics for healthcare service delivery
Iyamu, Tiko.

Advancing big data analytics for healthcare service delivery[electronic resource] /Tiko Iyamu. - Abingdon, Oxon ;Routledge,2023. - 1 online resource (xvi, 196 p.) :ill. (black and white). - Routledge studies in innovation, organizations and technology. - Routledge studies in innovation, organization and technology..

Includes bibliographical references and index.

Healthcare data management : structuration view -- Open technology innovation for healthcare services -- Interaction with cloud-hosted health data -- A framework for selecting healthcare big data analytics tools -- Interpretivist and analytics approaches for healthcare big data analytics -- A multi-level approach for healthcare big data analysis -- Transforming big data for service delivery -- Integration of social media with healthcare big data for services -- Actor-network theory view of healthcare big data -- Implementation of big data analytics for healthcare services -- Evaluating big data analytics tools for healthcare services.

"In recent years, there has been steady increase in the interest shown in both big data analytics and the use of technology to improve healthcare services. Despite the growing interest, there are limited materials to address the needs and challenges posed. This book aims to technologically 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 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 was either from technical or social perspective. This book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constraint the use of patients' big data for health services. By doing so, the book brings 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 information technology (IT), big data analytics, data management and health informatics"--

ISBN: 9781003251064Subjects--Topical Terms:

3620791
Medical informatics
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: R859.7.D35

Dewey Class. No.: 610.285

Advancing big data analytics for healthcare service delivery
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245 1 0 $a Advancing big data analytics for healthcare service delivery $h [electronic resource] / $c Tiko Iyamu.
260 $a Abingdon, Oxon ; $a New York, NY : $b Routledge, $c 2023.
300 $a 1 online resource (xvi, 196 p.) : $b ill. (black and white).
490 1 $a Routledge studies in innovation, organizations and technology
504 $a Includes bibliographical references and index.
505 0 $a Healthcare data management : structuration view -- Open technology innovation for healthcare services -- Interaction with cloud-hosted health data -- A framework for selecting healthcare big data analytics tools -- Interpretivist and analytics approaches for healthcare big data analytics -- A multi-level approach for healthcare big data analysis -- Transforming big data for service delivery -- Integration of social media with healthcare big data for services -- Actor-network theory view of healthcare big data -- Implementation of big data analytics for healthcare services -- Evaluating big data analytics tools for healthcare services.
520 $a "In recent years, there has been steady increase in the interest shown in both big data analytics and the use of technology to improve healthcare services. Despite the growing interest, there are limited materials to address the needs and challenges posed. This book aims to technologically 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 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 was either from technical or social perspective. This book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constraint the use of patients' big data for health services. By doing so, the book brings 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 information technology (IT), big data analytics, data management and health informatics"-- $c Provided by publisher.
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650 0 $a Medical care $x Data processing. $3 661308
650 0 $a Medical care $x Technological innovations. $3 855845
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856 4 0 $u https://www.taylorfrancis.com/books/9781003251064