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Rumbold, J.M.M. 
ORCID: 0000-0002-3308-711X, O'Kane, M., Philip, N. and Pierscionek, B.K. ORCID: 0000-0002-8661-6353,
2020.
Big data and diabetes: the applications of big data for diabetes care now and in the future.
Diabetic Medicine, 37 (2), pp. 187-193.
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: | February 2020 | ||||||
| Volume: | 37 | ||||||
| Number: | 2 | ||||||
| ISSN: | 0742-3071 | ||||||
| Identifiers: |
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| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 05 Jun 2019 15:37 | ||||||
| Last Modified: | 05 Jul 2021 16:14 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/36709 |
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