Toward a Literature-Driven Definition of Big Data in Healthcare

Emilie Baro · Samuel Degoul · Régis Beuscart · Emmanuel Chazard

210 citations0/0 files storedBioMed Research International

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Big Data Technologies and Applications Electronic Health Records Systems Artificial Intelligence in Healthcare

Abstract

OBJECTIVE: The aim of this study was to provide a definition of big data in healthcare. METHODS: A systematic search of PubMed literature published until May 9, 2014, was conducted. We noted the number of statistical individuals (n) and the number of variables (p) for all papers describing a dataset. These papers were classified into fields of study. Characteristics attributed to big data by authors were also considered. Based on this analysis, a definition of big data was proposed. RESULTS: A total of 196 papers were included. Big data can be defined as datasets with Log(n∗p) ≥ 7. Properties of big data are its great variety and high velocity. Big data raises challenges on veracity, on all aspects of the workflow, on extracting meaningful information, and on sharing information. Big data requires new computational methods that optimize data management. Related concepts are data reuse, false knowledge discovery, and privacy issues. CONCLUSION: Big data is defined by volume. Big data should not be confused with data reuse: data can be big without being reused for another purpose, for example, in omics. Inversely, data can be reused without being necessarily big, for example, secondary use of Electronic Medical Records (EMR) data.

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References

2013The big challenges of big data 2013Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health 2010Computational solutions to large-scale data management and analysis 2012Motivating salespeople: what really works.2014The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data 2013Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System 2012Scientific perspectivism: A philosopher of science’s response to the challenge of big data biology

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