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Big Data and diabetes: the applications of Big Data for diabetes care now and in the future
Author(s) -
Rumbold J. M. M.,
O'Kane M.,
Philip N.,
Pierscionek B. K.
Publication year - 2020
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/dme.14044
Subject(s) - big data , medicine , health care , diabetes mellitus , work (physics) , data science , data mining , computer science , engineering , mechanical engineering , endocrinology , economics , economic growth
We review current applications of Big Data in diabetes care and consider the future potential by carrying out a scoping study of the academic literature on Big Data and diabetes care. 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. 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.