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Big Data and diabetes: the applications of Big Data for diabetes care now and in the future.
Rumbold, J M M; O'Kane, M; Philip, N; Pierscionek, B K.
Afiliación
  • Rumbold JMM; School of Science and Technology, Nottingham Trent University, Nottingham.
  • O'Kane M; Western Health & Social Care Trust, Altnagelvin Area Hospital, Londonderry.
  • Philip N; School of Computer Science and Mathematics, Kingston University London, Kingston upon Thames, UK.
  • Pierscionek BK; School of Science and Technology, Nottingham Trent University, Nottingham.
Diabet Med ; 37(2): 187-193, 2020 02.
Article en En | MEDLINE | ID: mdl-31148227
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Investigación Biomédica / Diabetes Mellitus / Macrodatos Límite: Humans Idioma: En Revista: Diabet Med Asunto de la revista: ENDOCRINOLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Investigación Biomédica / Diabetes Mellitus / Macrodatos Límite: Humans Idioma: En Revista: Diabet Med Asunto de la revista: ENDOCRINOLOGIA Año: 2020 Tipo del documento: Article