Evidence map›Paper›PMID 35733192›Full record

SynthesisBMC health services research2022

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

Nicola Cozzoli, Fiorella Pia Salvatore, Nicola Faccilongo, Michele Milone

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
15.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Article
  6. Article
  7. Big Data Research on Severe Asthma.Tuberculosis and respiratory diseases · 2024
    Article
  8. Article
  9. Health 4.0 in the medical sector: a narrative review.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
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  12. Review
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  15. Article
  16. Review
  17. Assessing Digital Transformation of Cost Accounting Tools in Healthcare.International journal of environmental research and public health · 2022
    Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Nicola CozzoliDepartment of Economics, University of Foggia, Via Caggese n.1, Foggia, Italy.
Fiorella Pia SalvatoreDepartment of Economics, University of Foggia, Via Caggese n.1, Foggia, Italy. fiorellapia.salvatore@unifg.it.ORCID http://orcid.org/0000-0001-6294-3360
Nicola FaccilongoDepartment of Economics, University of Foggia, Via Caggese n.1, Foggia, Italy.
Michele MiloneDepartment of Economics, University of Foggia, Via Caggese n.1, Foggia, Italy.
University of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple 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?

methodsThrough 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.

resultsThe 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.

conclusionsIn 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.

Indexed as

Big DataData ScienceData AnalysisDelivery of Health CareHumansBig data analyticsHealthcare governanceHealthcare managementHealthcare organization

Identifiers

PMID35733192
PMCPMC9213639
OpenAlexW4283274621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.