Data-driven health management: reasoning about personally generated data in diabetes with information technologies | Zendy

Lena Mamykina | Zendy; Matthew E. Levine | Zendy; Patricia G. Davidson | Zendy; Arlene Smaldone | Zendy; Noémie Elhadad | Zendy; David J. Albers | Zendy

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Data-driven health management: reasoning about personally generated data in diabetes with information technologies

Author(s) -

Lena Mamykina,

Matthew E. Levine,

Patricia G. Davidson,

Arlene Smaldone,

Noémie Elhadad,

David J. Albers

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv187

Subject(s) - postprandial , diabetes mellitus , type 1 diabetes , set (abstract data type) , medicine , type 2 diabetes , diabetes management , gerontology , data set , computer science , artificial intelligence , endocrinology , programming language

To investigate how individuals with diabetes and diabetes educators reason about data collected through self-monitoring and to draw implications for the design of data-driven self-management technologies.

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