Evidence map›Paper›PMID 37835095›Full record

ArticleInternational journal of environmental research and public health2023

BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing.

Mahmoud Elkhodr, Ergun Gide, Omar Darwish, Shorouq Al-Eidi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mahmoud ElkhodrSchool of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia.ORCID 0000-0001-9904-7551
Ergun GideSchool of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia.ORCID 0000-0003-2258-1910
Omar DarwishInformation Security and Applied Computing Department, Eastern Michigan University, Ypsilanti, MI 48197, USA.ORCID 0000-0001-8346-7148
Shorouq Al-EidiComputer Science Department, Tafila Technical University, Tafila 66110, Jordan.ORCID 0000-0002-4090-3736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of digital healthcare, biomedical data sharing is of paramount importance for the advancement of research and personalised healthcare. However, sharing such data while preserving user privacy and ensuring data security poses significant challenges. This paper introduces BioChainReward (BCR), a blockchain-based framework designed to address these concerns. BCR offers enhanced security, privacy, and incentivisation for data sharing in biomedical applications. Its architecture consists of four distinct layers: data, blockchain, smart contract, and application. The data layer handles the encryption and decryption of data, while the blockchain layer manages data hashing and retrieval. The smart contract layer includes an AI-enabled privacy-preservation sublayer that dynamically selects an appropriate privacy technique, tailored to the nature and purpose of each data request. This layer also features a feedback and incentive mechanism that incentivises patients to share their data by offering rewards. Lastly, the application layer serves as an interface for diverse applications, such as AI-enabled apps and data analysis tools, to access and utilise the shared data. Hence, BCR presents a robust, comprehensive approach to secure, privacy-aware, and incentivised data sharing in the biomedical domain.

Indexed as

BlockchainComputer SecurityDelivery of Health CareHumansInformation DisseminationPrivacybiomedical datablockchainEHRhealth informaticsprivacy security

Identifiers

PMID37835095
PMCPMC10572599

What OpenQuestion holds

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LicenceCC BY
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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.