A care team-based classification and population management schema for connected diabetes care

It has been proposed that telehealth may help to combat the epidemic of diabetes and other chronic diseases in the US. As a result of rapid technological advancement over the past decade, there has been an explosion in virtual diabetes management program offerings rooted in smartphone technology, co...

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Autores principales:	Brian J. Levine, Kelly L. Close, Robert A. Gabbay
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/b9317c0a2be94bd59fd2eda83c1d7a84
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spelling	oai:doaj.org-article:b9317c0a2be94bd59fd2eda83c1d7a842021-12-02T14:53:47ZA care team-based classification and population management schema for connected diabetes care10.1038/s41746-020-00313-32398-6352https://doaj.org/article/b9317c0a2be94bd59fd2eda83c1d7a842020-08-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00313-3https://doaj.org/toc/2398-6352It has been proposed that telehealth may help to combat the epidemic of diabetes and other chronic diseases in the US. As a result of rapid technological advancement over the past decade, there has been an explosion in virtual diabetes management program offerings rooted in smartphone technology, connected devices for blood glucose monitoring, and remote coaching or support. Such offerings take many forms with unique features. We provide a care team-based classification system for connected diabetes care programs and highlight their strengths and limitations. We also include a framework for how the different classes of connected diabetes care may be deployed in a health system to promote improved population health.Brian J. LevineKelly L. CloseRobert A. GabbayNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-5 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Brian J. Levine Kelly L. Close Robert A. Gabbay A care team-based classification and population management schema for connected diabetes care
description	It has been proposed that telehealth may help to combat the epidemic of diabetes and other chronic diseases in the US. As a result of rapid technological advancement over the past decade, there has been an explosion in virtual diabetes management program offerings rooted in smartphone technology, connected devices for blood glucose monitoring, and remote coaching or support. Such offerings take many forms with unique features. We provide a care team-based classification system for connected diabetes care programs and highlight their strengths and limitations. We also include a framework for how the different classes of connected diabetes care may be deployed in a health system to promote improved population health.
format	article
author	Brian J. Levine Kelly L. Close Robert A. Gabbay
author_facet	Brian J. Levine Kelly L. Close Robert A. Gabbay
author_sort	Brian J. Levine
title	A care team-based classification and population management schema for connected diabetes care
title_short	A care team-based classification and population management schema for connected diabetes care
title_full	A care team-based classification and population management schema for connected diabetes care
title_fullStr	A care team-based classification and population management schema for connected diabetes care
title_full_unstemmed	A care team-based classification and population management schema for connected diabetes care
title_sort	care team-based classification and population management schema for connected diabetes care
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b9317c0a2be94bd59fd2eda83c1d7a84
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A care team-based classification and population management schema for connected diabetes care

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