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Blockchain technology for improving clinical research quality

Overview of attention for article published in Trials, July 2017
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Title
Blockchain technology for improving clinical research quality
Published in
Trials, July 2017
DOI 10.1186/s13063-017-2035-z
Pubmed ID
Authors

Mehdi Benchoufi, Philippe Ravaud

Abstract

Reproducibility, data sharing, personal data privacy concerns and patient enrolment in clinical trials are huge medical challenges for contemporary clinical research. A new technology, Blockchain, may be a key to addressing these challenges and should draw the attention of the whole clinical research community.Blockchain brings the Internet to its definitive decentralisation goal. The core principle of Blockchain is that any service relying on trusted third parties can be built in a transparent, decentralised, secure "trustless" manner at the top of the Blockchain (in fact, there is trust, but it is hardcoded in the Blockchain protocol via a complex cryptographic algorithm). Therefore, users have a high degree of control over and autonomy and trust of the data and its integrity. Blockchain allows for reaching a substantial level of historicity and inviolability of data for the whole document flow in a clinical trial. Hence, it ensures traceability, prevents a posteriori reconstruction and allows for securely automating the clinical trial through what are called Smart Contracts. At the same time, the technology ensures fine-grained control of the data, its security and its shareable parameters, for a single patient or group of patients or clinical trial stakeholders.In this commentary article, we explore the core functionalities of Blockchain applied to clinical trials and we illustrate concretely its general principle in the context of consent to a trial protocol. Trying to figure out the potential impact of Blockchain implementations in the setting of clinical trials will shed new light on how modern clinical trial methods could evolve and benefit from Blockchain technologies in order to tackle the aforementioned challenges.

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Mendeley readers

The data shown below were compiled from readership statistics for 496 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 496 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 106 21%
Student > Ph. D. Student 62 13%
Researcher 54 11%
Student > Bachelor 43 9%
Other 21 4%
Other 86 17%
Unknown 124 25%
Readers by discipline Count As %
Computer Science 123 25%
Business, Management and Accounting 47 9%
Medicine and Dentistry 39 8%
Engineering 35 7%
Pharmacology, Toxicology and Pharmaceutical Science 13 3%
Other 92 19%
Unknown 147 30%