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Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals
K. Braune, RA. Lal, L. Petruželková, G. Scheiner, P. Winterdijk, S. Schmidt, L. Raimond, KK. Hood, MC. Riddell, TC. Skinner, K. Raile, S. Hussain, OPEN International Healthcare Professional Network and OPEN Legal Advisory Group
Language English Country Great Britain
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Review
Grant support
Wellcome Trust - United Kingdom
K12 DK122550
NIDDK NIH HHS - United States
K23 DK122017
NIDDK NIH HHS - United States
P30 DK116074
NIDDK NIH HHS - United States
- MeSH
- Diabetes Mellitus, Type 1 * drug therapy MeSH
- Hypoglycemic Agents therapeutic use MeSH
- Insulin * therapeutic use MeSH
- Insulin Infusion Systems MeSH
- Humans MeSH
- Health Personnel MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Research Support, N.I.H., Extramural MeSH
Open-source automated insulin delivery systems, commonly referred to as do-it-yourself automated insulin delivery systems, are examples of user-driven innovations that were co-created and supported by an online community who were directly affected by diabetes. Their uptake continues to increase globally, with current estimates suggesting several thousand active users worldwide. Real-world user-driven evidence is growing and provides insights into safety and effectiveness of these systems. The aim of this consensus statement is two-fold. Firstly, it provides a review of the current evidence, description of the technologies, and discusses the ethics and legal considerations for these systems from an international perspective. Secondly, it provides a much-needed international health-care consensus supporting the implementation of open-source systems in clinical settings, with detailed clinical guidance. This consensus also provides important recommendations for key stakeholders that are involved in diabetes technologies, including developers, regulators, and industry, and provides medico-legal and ethical support for patient-driven, open-source innovations.
Berlin Institute of Health Berlin Germany
Department of Diabetes and Endocrinology Guy's and St Thomas' Hospital NHS Trust London UK
Department of Diabetes King's College London London UK
Department of Pediatrics University Hospital Motol Prague Czech Republic
Department of Psychology University of Copenhagen Copenhagen Denmark
Diabeter Center for Pediatric and Adult Diabetes Care and Research Rotterdam Netherlands
Institute of Diabetes Endocrinology and Obesity King's Health Partners London UK
Institute of Medical Informatics Charité Universitätsmedizin Berlin Berlin Germany
Integrated Diabetes Services Wynnewood PA USA
La Trobe Rural Health School La Trobe University Bendigo VIC Australia
Muscle Health Research Centre York University Toronto ON Canada
References provided by Crossref.org
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