Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jun 22;22(1):809.
doi: 10.1186/s12913-022-08167-z.

How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review

Nicola Cozzoli  1 , Fiorella Pia Salvatore  2 , Nicola Faccilongo  1 , Michele Milone  1
Affiliations

How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review

Nicola Cozzoli et al. BMC Health Serv Res. .

Abstract

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.

Keywords: Big data analytics; Healthcare governance; Healthcare management; Healthcare organization.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Workflow of articles selection
Fig. 2
Fig. 2
Trend of research steams
Fig. 3
Fig. 3
Geographical locations of the studies
See this image and copyright information in PMC

References

    1. Wang L, Alexander CA. Big data in medical applications and health care. Curr Res Med. 2015;6:1–8.
    1. Aceto G, Persico V, Pescape A. Industry 4.0 and health: internet of things, big data, and cloud computing for healthcare 4.0. J Ind Inf Integr. 2020;18:100129.
    1. Galetsi P, Katsaliaki K, Kumar S. Values, challenges and future directions of big data analytics in healthcare: A systematic review. Soc Sci Med. 2019;241:112533. - PubMed
    1. Obermeyer Z, Emanuel EJ. Predicting the future — big data, machine learning, and clinical medicine. New Engl J Med. 2016;375:1216–1219. - PMC - PubMed
    1. Kumar Y, Sood K, Kaul S, Vasuja R, et al. Big data analytics and its benefits in healthcare. In: Kulkarni J, et al., editors. Big data analytics in healthcare, studies in big data 66. Cham: Springer; 2020. p. 3–21.

Publication types

LinkOut - more resources