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      Do-It-Yourself Automated Insulin Delivery: A Leading Example of the Democratization of Medicine

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          Abstract

          Digital innovations have led to an explosion of data in healthcare, driving processes of democratization and foreshadowing the end of the paternalistic era of medicine and the inception of a new epoch characterized by patient-centered care. We illustrate that the “do it yourself” (DIY) automated insulin delivery (AID) innovation of diabetes is a leading example of democratization of medicine as evidenced by its application to the three pillars of democratization in healthcare (intelligent computing; sharing of information; and privacy, security, and safety) outlined by Stanford but also within a broader context of democratization. The heuristic algorithms integral to DIY AID have been developed and refined by human intelligence and demonstrate intelligent computing. We deliver examples of research in artificial pancreas technology which actively pursues the use of machine learning representative of artificial intelligence (AI) and also explore alternate approaches to AI within the DIY AID example. Sharing of information symbolizes the core philosophy behind the success of the DIY AID evolution. We examine data sharing for algorithm development and refinement, for sharing of the open-source algorithm codes online, for peer to peer support, and sharing with medical and scientific communities. Do it yourself AID systems have no regulatory approval raising safety concerns as well as medico-legal and ethical implications for healthcare professionals. Other privacy and security factors are also discussed. Democratization of healthcare promises better health access for all and we recognize the limitations of DIY AID as it exists presently, however, we believe it has great potential.

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          Author and article information

          Journal
          J Diabetes Sci Technol
          J Diabetes Sci Technol
          DST
          spdst
          Journal of Diabetes Science and Technology
          SAGE Publications (Sage CA: Los Angeles, CA )
          1932-2968
          26 December 2019
          September 2020
          : 14
          : 5
          : 878-882
          Affiliations
          [1 ]Department of Paediatrics, Canterbury District Health Board, Christchurch, New Zealand
          [2 ]Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
          [3 ]Department of Computer Science, University of Waikato, Hamilton, New Zealand
          [4 ]Department of Medicine, University of Otago, Christchurch, New Zealand
          [5 ]Department of Software, AndroidAPS.org, Linz, Austria
          [6 ]Department of Paediatrics, University of Otago, Christchurch, New Zealand
          Author notes
          [*]Martin de Bock, FRACP, PhD, Department of Paediatrics, University of Otago, Christchurch, 2 Riccarton Avenue, Christchurch 8011, New Zealand. Email: Martin.debock@ 123456otago.ac.nz
          Author information
          https://orcid.org/0000-0002-8414-4479
          https://orcid.org/0000-0003-0454-6679
          Article
          PMC7753855 PMC7753855 7753855 10.1177_1932296819890623
          10.1177/1932296819890623
          7753855
          31876179
          dc95eddb-42c7-4d12-99dd-cc7b21646a0b
          © 2019 Diabetes Technology Society
          History
          Categories
          Special Section: DIY Technical Factors
          Guest Editors: Korey Hood, Dana Lewis, Michelle Litchman, and Ralph Ziegler
          Symposium/Special Issue
          Custom metadata
          ts1

          artificial intelligence,automated insulin delivery,artificial pancreas,open-source,democratization of medicine,do it yourself

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