Cover Image

A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era

The significance of big data analytics (BDA) has benefited the health sector by leverage the potential insights and capabilities of big data in decision-making. However, every implementation of BDA within the healthcare field faces difficulties due to incomplete or flawed information that necessitat...

Full description

Saved in:
Bibliographic Details
Main Authors: Orlu, Glory Urekwere, Abdullah, Rusli, Zaremohzzabieh, Zeinab, Jusoh, Yusmadi Yah, Asadi, Shahla, Qasem, Yousef A. M., Nor, Rozi Nor Haizan, Mohd Nasir, Wan Mohd Haffiz
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2023
Online Access:http://psasir.upm.edu.my/id/eprint/106804/
https://www.mdpi.com/2071-1050/15/21/15476
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.106804
record_format eprints
spelling my.upm.eprints.1068042024-08-16T08:07:24Z http://psasir.upm.edu.my/id/eprint/106804/ A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era Orlu, Glory Urekwere Abdullah, Rusli Zaremohzzabieh, Zeinab Jusoh, Yusmadi Yah Asadi, Shahla Qasem, Yousef A. M. Nor, Rozi Nor Haizan Mohd Nasir, Wan Mohd Haffiz The significance of big data analytics (BDA) has benefited the health sector by leverage the potential insights and capabilities of big data in decision-making. However, every implementation of BDA within the healthcare field faces difficulties due to incomplete or flawed information that necessitates attention and resolution. The purpose of this systematic literature review is to accomplish two main objectives. Firstly, it aims to synthesize the various elements that contribute to imperfect information in BDA and their impact on decision-making processes within the healthcare sector. This involves identifying and analyzing the factors that can result in imperfect information in BDA applications. Secondly, the review intends to create a taxonomy specifically focused on imperfect information within the context of BDA in the health sector. The study con-ducted a systematic review of the literature, specifically focusing on studies written in English and published up until February 2023. We also screened and retrieved the titles, abstracts, and potentially relevant studies to determine if they met the criteria for inclusion. As a result, they obtained a total of 58 primary studies. The findings displayed that the presence of uncertainty, imprecision, vagueness, incompleteness, and complexity factors in BDA significantly impacts the ability to sustain effective decision-making in the healthcare sector. Additionally, the study highlighted that the taxonomy for imperfect information in BDA provides healthcare managers with the means to utilize suitable strategies essential for successful implementation when dealing with incomplete information in big data. These findings have practical implications for BDA service providers, as they can leverage the findings to attract and promote the adoption of BDA within the healthcare sector. Multidisciplinary Digital Publishing Institute 2023 Article PeerReviewed Orlu, Glory Urekwere and Abdullah, Rusli and Zaremohzzabieh, Zeinab and Jusoh, Yusmadi Yah and Asadi, Shahla and Qasem, Yousef A. M. and Nor, Rozi Nor Haizan and Mohd Nasir, Wan Mohd Haffiz (2023) A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era. Sustainability, 15 (21). pp. 1-24. ISSN 2071-1050 https://www.mdpi.com/2071-1050/15/21/15476 10.3390/su152115476
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The significance of big data analytics (BDA) has benefited the health sector by leverage the potential insights and capabilities of big data in decision-making. However, every implementation of BDA within the healthcare field faces difficulties due to incomplete or flawed information that necessitates attention and resolution. The purpose of this systematic literature review is to accomplish two main objectives. Firstly, it aims to synthesize the various elements that contribute to imperfect information in BDA and their impact on decision-making processes within the healthcare sector. This involves identifying and analyzing the factors that can result in imperfect information in BDA applications. Secondly, the review intends to create a taxonomy specifically focused on imperfect information within the context of BDA in the health sector. The study con-ducted a systematic review of the literature, specifically focusing on studies written in English and published up until February 2023. We also screened and retrieved the titles, abstracts, and potentially relevant studies to determine if they met the criteria for inclusion. As a result, they obtained a total of 58 primary studies. The findings displayed that the presence of uncertainty, imprecision, vagueness, incompleteness, and complexity factors in BDA significantly impacts the ability to sustain effective decision-making in the healthcare sector. Additionally, the study highlighted that the taxonomy for imperfect information in BDA provides healthcare managers with the means to utilize suitable strategies essential for successful implementation when dealing with incomplete information in big data. These findings have practical implications for BDA service providers, as they can leverage the findings to attract and promote the adoption of BDA within the healthcare sector.
format Article
author Orlu, Glory Urekwere
Abdullah, Rusli
Zaremohzzabieh, Zeinab
Jusoh, Yusmadi Yah
Asadi, Shahla
Qasem, Yousef A. M.
Nor, Rozi Nor Haizan
Mohd Nasir, Wan Mohd Haffiz
spellingShingle Orlu, Glory Urekwere
Abdullah, Rusli
Zaremohzzabieh, Zeinab
Jusoh, Yusmadi Yah
Asadi, Shahla
Qasem, Yousef A. M.
Nor, Rozi Nor Haizan
Mohd Nasir, Wan Mohd Haffiz
A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
author_facet Orlu, Glory Urekwere
Abdullah, Rusli
Zaremohzzabieh, Zeinab
Jusoh, Yusmadi Yah
Asadi, Shahla
Qasem, Yousef A. M.
Nor, Rozi Nor Haizan
Mohd Nasir, Wan Mohd Haffiz
author_sort Orlu, Glory Urekwere
title A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
title_short A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
title_full A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
title_fullStr A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
title_full_unstemmed A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
title_sort systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the big data era
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/106804/
https://www.mdpi.com/2071-1050/15/21/15476
_version_ 1809142958319992832
score 13.211869

Similar Items