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How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review
BACKGROUND: Multiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship’s multi-disciplinary nature....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213639/ https://www.ncbi.nlm.nih.gov/pubmed/35733192 http://dx.doi.org/10.1186/s12913-022-08167-z |
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author | Cozzoli, Nicola Salvatore, Fiorella Pia Faccilongo, Nicola Milone, Michele |
author_facet | Cozzoli, Nicola Salvatore, Fiorella Pia Faccilongo, Nicola Milone, Michele |
author_sort | Cozzoli, Nicola |
collection | PubMed |
description | BACKGROUND: Multiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship’s multi-disciplinary nature. This study aims to answer three research questions: a) What is the state of art of big data analytics adopted by healthcare organizations? b) What about the benefits for both health managers and healthcare organizations? c) What about future directions on big data analytics research in healthcare? METHODS: Through a systematic literature review the impact of big data analytics on healthcare management has been examined. The study aims to map extant literature and present a framework for future scholars to further build on, and executives to be guided by. RESULTS: The positive relationship between big data analytics and healthcare organization management has emerged. To find out common elements in the studies reviewed, 16 studies have been selected and clustered into 4 research areas: 1) Potentialities of big data analytics. 2) Resource management. 3) Big data analytics and management of health surveillance systems. 4) Big data analytics and technology for healthcare organization. CONCLUSIONS: In conclusion is identified how the big data analytics solutions are considered a milestone for managerial studies applied to healthcare organizations, although scientific research needs to investigate standardization and integration of the devices as well as the protocol in data analysis to improve the performance of the healthcare organization. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08167-z. |
format | Online Article Text |
id | pubmed-9213639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92136392022-06-22 How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review Cozzoli, Nicola Salvatore, Fiorella Pia Faccilongo, Nicola Milone, Michele BMC Health Serv Res Research BACKGROUND: Multiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship’s multi-disciplinary nature. This study aims to answer three research questions: a) What is the state of art of big data analytics adopted by healthcare organizations? b) What about the benefits for both health managers and healthcare organizations? c) What about future directions on big data analytics research in healthcare? METHODS: Through a systematic literature review the impact of big data analytics on healthcare management has been examined. The study aims to map extant literature and present a framework for future scholars to further build on, and executives to be guided by. RESULTS: The positive relationship between big data analytics and healthcare organization management has emerged. To find out common elements in the studies reviewed, 16 studies have been selected and clustered into 4 research areas: 1) Potentialities of big data analytics. 2) Resource management. 3) Big data analytics and management of health surveillance systems. 4) Big data analytics and technology for healthcare organization. CONCLUSIONS: In conclusion is identified how the big data analytics solutions are considered a milestone for managerial studies applied to healthcare organizations, although scientific research needs to investigate standardization and integration of the devices as well as the protocol in data analysis to improve the performance of the healthcare organization. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08167-z. BioMed Central 2022-06-22 /pmc/articles/PMC9213639/ /pubmed/35733192 http://dx.doi.org/10.1186/s12913-022-08167-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cozzoli, Nicola Salvatore, Fiorella Pia Faccilongo, Nicola Milone, Michele How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review |
title | How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review |
title_full | How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review |
title_fullStr | How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review |
title_full_unstemmed | How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review |
title_short | How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review |
title_sort | how can big data analytics be used for healthcare organization management? literary framework and future research from a systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213639/ https://www.ncbi.nlm.nih.gov/pubmed/35733192 http://dx.doi.org/10.1186/s12913-022-08167-z |
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