Evidence map›Paper›PMID 30047789›Full record

ArticleJournal of diabetes science and technology2019

How to Use Blockchain for Diabetes Health Care Data and Access Management: An Operational Concept.

Simon Lebech Cichosz, Mads Nibe Stausholm, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021
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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

5 authors.

Simon Lebech Cichosz1 Department of Health Science and Technology, Aalborg University, Denmark.ORCID 0000-0002-3484-7571
Mads Nibe Stausholm1 Department of Health Science and Technology, Aalborg University, Denmark.
Thomas Kronborg1 Department of Health Science and Technology, Aalborg University, Denmark.
Peter Vestergaard2 Department of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark.
Ole Hejlesen1 Department of Health Science and Technology, Aalborg University, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with diabetes often generate large amounts of data specifically related to the disease and to their general health. Cross-institutional sharing of patient health care data is complex, and as a consequence, data are not always available to the health care provider treating the patient. Accommodating this challenge could lead to better clinical effectiveness and improve clinical research. This work aims to present an approach for a blockchain-based platform for sharing health care data. The approach considers privacy concerns, data sharing, and patients as the center for governing their own data.

methodsThe concept of this blockchain-based platform consists of using the NEM multi-signature blockchain contracts for access control of data management and the sharing and encryption of data to allow privacy and control of health care data. The architecture is built around cryptography, tokens, and multi-signature contracts. The multi-signature contract enables several entities to administrate the activity of an account and control the assets of one account. Multi-signature generates a contract that assigns the rights and powers of a certain account to other accounts; this contract can be edited to allow or remove entities. DISCUSSION: Using blockchain could lead to improvements in diabetes data management. In the coming years, this technology should be implemented in existing small-scale diabetes health care system to explore its real-world benefits and challenges.

conclusionThis new approach could potentially lead to more efficient sharing of data between institutions and utilization of new types of data and research possibilities.

Indexed as

Access to InformationBlockchainElectronic Health RecordsInformation Storage and RetrievalData ManagementDiabetes MellitusHumansInformation Disseminationaccess managementblockchaindiabeteshealth care

Identifiers

PMID30047789
PMCPMC6399803

What OpenQuestion holds

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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.