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Open source automated insulin delivery: addressing the challenge
Do-it-yourself automated insulin delivery systems for people living with type 1 diabetes use commercially available continuous glucose sensors and insulin pumps linked by unregulated open source software. Uptake of these systems is increasing, with growing evidence suggesting that positive glucose o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906512/ https://www.ncbi.nlm.nih.gov/pubmed/31840095 http://dx.doi.org/10.1038/s41746-019-0202-1 |
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author | Oliver, Nick Reddy, Monika Marriott, Claire Walker, Tomas Heinemann, Lutz |
author_facet | Oliver, Nick Reddy, Monika Marriott, Claire Walker, Tomas Heinemann, Lutz |
author_sort | Oliver, Nick |
collection | PubMed |
description | Do-it-yourself automated insulin delivery systems for people living with type 1 diabetes use commercially available continuous glucose sensors and insulin pumps linked by unregulated open source software. Uptake of these systems is increasing, with growing evidence suggesting that positive glucose outcomes may be feasible. Increasing interest from people living with, or affected by, type 1 diabetes presents challenges to healthcare professionals, device manufacturers and regulators as the legal, governance and risk frameworks for such devices are not defined. We discuss the data, education, policy, technology and medicolegal obstacles to wider implementation of DIY systems and outline the next steps required for a co-ordinated approach to reducing variation in access to a technology that has potential to enable glucose self-management closer to target. |
format | Online Article Text |
id | pubmed-6906512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69065122019-12-13 Open source automated insulin delivery: addressing the challenge Oliver, Nick Reddy, Monika Marriott, Claire Walker, Tomas Heinemann, Lutz NPJ Digit Med Perspective Do-it-yourself automated insulin delivery systems for people living with type 1 diabetes use commercially available continuous glucose sensors and insulin pumps linked by unregulated open source software. Uptake of these systems is increasing, with growing evidence suggesting that positive glucose outcomes may be feasible. Increasing interest from people living with, or affected by, type 1 diabetes presents challenges to healthcare professionals, device manufacturers and regulators as the legal, governance and risk frameworks for such devices are not defined. We discuss the data, education, policy, technology and medicolegal obstacles to wider implementation of DIY systems and outline the next steps required for a co-ordinated approach to reducing variation in access to a technology that has potential to enable glucose self-management closer to target. Nature Publishing Group UK 2019-12-11 /pmc/articles/PMC6906512/ /pubmed/31840095 http://dx.doi.org/10.1038/s41746-019-0202-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Oliver, Nick Reddy, Monika Marriott, Claire Walker, Tomas Heinemann, Lutz Open source automated insulin delivery: addressing the challenge |
title | Open source automated insulin delivery: addressing the challenge |
title_full | Open source automated insulin delivery: addressing the challenge |
title_fullStr | Open source automated insulin delivery: addressing the challenge |
title_full_unstemmed | Open source automated insulin delivery: addressing the challenge |
title_short | Open source automated insulin delivery: addressing the challenge |
title_sort | open source automated insulin delivery: addressing the challenge |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906512/ https://www.ncbi.nlm.nih.gov/pubmed/31840095 http://dx.doi.org/10.1038/s41746-019-0202-1 |
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