Big data and diabetes: the applications of big data for diabetes care now and in the future

Rumbold, J.M.M. ORCID: 0000-0002-3308-711X, O'Kane, M., Philip, N. and Pierscionek, B.K. ORCID: 0000-0002-8661-6353, 2019. Big data and diabetes: the applications of big data for diabetes care now and in the future. Diabetic Medicine. ISSN 0742-3071

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Abstract

Aims: Review the current applications of Big Data in diabetes care and consider the future potential.

Methods: Scoping study of the academic literature on Big Data and diabetes care.

Results: Healthcare data are being produced at ever-increasing rates, and this information has the potential to transform the provision of diabetes care. Big Data is beginning to have an impact on diabetes care through data research. The use of Big Data for routine clinical care is still a future application.

Conclusions: Vast amounts of healthcare data are already being produced, and the key is harnessing these to produce actionable insights. Considerable development work is required to achieve these goals.

Item Type: Journal article
Publication Title: Diabetic Medicine
Creators: Rumbold, J.M.M., O'Kane, M., Philip, N. and Pierscionek, B.K.
Publisher: Wiley-Blackwell
Date: 31 May 2019
ISSN: 0742-3071
Identifiers:
NumberType
10.1111/dme.14044DOI
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 05 Jun 2019 15:37
Last Modified: 20 Jun 2019 14:33
URI: http://irep.ntu.ac.uk/id/eprint/36709

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