Evidence map›Paper›PMID 31876179›Full record

ArticleJournal of diabetes science and technology2020

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

Mercedes Burnside, Hamish Crocket, Michael Mayo, John Pickering, Adrian Tappe, Martin de Bock

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  7. Mapping the Landscape of Do-it-Yourself Medicine.Citizen science : theory and practice · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mercedes BurnsideDepartment of Paediatrics, Canterbury District Health Board, Christchurch, New Zealand.ORCID 0000-0002-8414-4479
Hamish CrocketTe Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand.
Michael MayoDepartment of Computer Science, University of Waikato, Hamilton, New Zealand.
John PickeringDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Adrian TappeDepartment of Software, AndroidAPS.org, Linz, Austria.
Martin de BockDepartment of Paediatrics, Canterbury District Health Board, Christchurch, New Zealand.ORCID 0000-0003-0454-6679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Glycemic ControlInsulin Infusion SystemsPancreas, ArtificialPatient ParticipationArtificial IntelligenceBiomarkersBlood GlucoseBlood Glucose Self-MonitoringComputer SecurityDiabetes Mellitus, Type 1Diffusion of InnovationHumansHypoglycemic AgentsInsulinMonitoring, AmbulatoryPatient SafetyBiomarkersBlood GlucoseHypoglycemic AgentsInsulinartificial intelligenceartificial pancreasautomated insulin deliverydemocratization of medicinedo it yourselfopen-source

Identifiers

PMID31876179
PMCPMC7753855

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.