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Blockchain protocols in clinical trials: Transparency and traceability of consent
79
Zitationen
3
Autoren
2017
Jahr
Abstract
<ns4:p>Clinical trial consent for protocols and their revisions should be transparent for patients and traceable for stakeholders. Our goal is to implement a process allowing the collection of patients’ informed consent, which is bound to protocol revisions, storing and tracking the consent in a secure, unfalsifiable and publicly verifiable way, and enabling the sharing of this information in real time. For that, we will built a consent workflow using a rising technology called Blockchain. This is a distributed technology that brings a built-in layer of transparency and traceability. Additionally, it removes the need for third parties, and gives participative control to the peer-to-peer users. From a more general and prospective point of view, we believe Blockchain technology brings a paradigmatical shift to the entire clinical research field. We designed a Proof-of-Concept protocol consisting of time-stamping each step of the patient’s consent collection using Blockchain; thus archiving and historicising the consent through cryptographic validation in a securely unfalsifiable and transparent way. For each revision of the protocol, consent was sought again. We obtained a single document, in a standard open format, that accounted for the whole consent collection process: timestamped consent status with regards to each version of the protocol. This document cannot be corrupted, and can be checked on any dedicated public website. It should be considered as a robust proof of data. In the future, we think that the complex data flow of a clinical trial can be tracked using Blockchain. Moreover, a blockchain core functionality, named Smart Contract, can help prevent clinical trial events not to happen in the right chronological order: including patients before they consented or analysing case report forms data before freezing the database. This will help reaching reliability, security, and transparency, and could be a consistent step towards reproducibility.</ns4:p>
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