Managing Clinical Research on Blockchain Using FAIR Principles

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2025-02-11 DOI:10.1002/cpe.70005
Seyma Cihan, Adnan Ozsoy, Oya Deniz Beyan
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Abstract

Blockchain technology has the potential to extend beyond its traditional use in cryptocurrency and make significant strides in critical sectors like healthcare. Clinical research, which plays a pivotal role in enhancing healthcare quality by guiding activities, determining equipment usage, and recommending preferred medications, stands to benefit greatly from blockchain integration. The unique technical capabilities of blockchain offer promising solutions across various phases of clinical research, from study design and patient recruitment to report study findings. By addressing current challenges in the clinical research process, blockchain technology can notably enhance research quality and, consequently, improve patient care. Although conceptual framework studies regarding blockchain technology are in the available literature, practical implementations of this technology remain relatively scarce. Thus, in this study, a private permissioned Hyperledger Fabric blockchain platform was developed to manage clinical research. As a use case, a blockchain-based distributed framework for counting and reporting COVID-19 epidemiological parameters and statistics among healthcare centers has been defined in the study. Besides, to make clinical research data findable, accessible, interoperable, and reusable (FAIR), we integrated FAIR principles into the developed blockchain-based clinical research management system. Additionally, a use case logic has been implemented as a smart contract (chaincode) and invoked on Fabric Network. This study, in general, represents a crucial step towards bridging the gap between theoretical understanding and real-world application within the domain of blockchain technology. Moreover, the performance of the Fabric Network was evaluated by analyzing the chain code execution performance according to the size of the patient data. By deploying a functioning clinical research network and executing smart contracts, this study contributes to the practical utilization of blockchain technology along with FAIR principles integration to the entire clinical research process, which is a first in the literature.

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运用公平原则管理b区块链临床研究
区块链技术有潜力超越其在加密货币中的传统用途,并在医疗保健等关键领域取得重大进展。临床研究通过指导活动、确定设备使用和推荐首选药物,在提高医疗保健质量方面发挥着关键作用,因此将从区块链集成中受益匪浅。区块链独特的技术能力为临床研究的各个阶段提供了有希望的解决方案,从研究设计和患者招募到研究结果报告。通过解决当前临床研究过程中的挑战,区块链技术可以显著提高研究质量,从而改善患者护理。虽然关于区块链技术的概念框架研究在现有文献中有,但该技术的实际实现仍然相对较少。因此,在本研究中,开发了一个私人许可的Hyperledger Fabric区块链平台来管理临床研究。作为一个用例,研究中定义了一个基于区块链的分布式框架,用于统计和报告医疗中心之间的COVID-19流行病学参数和统计数据。此外,为了使临床研究数据可查找、可访问、可互操作和可重用(FAIR),我们将FAIR原则融入到开发的基于区块链的临床研究管理系统中。此外,用例逻辑已被实现为智能合约(链码),并在Fabric Network上调用。总的来说,这项研究代表了在区块链技术领域弥合理论理解和实际应用之间差距的关键一步。此外,根据患者数据的大小,通过分析链码执行性能来评估Fabric Network的性能。通过部署一个功能良好的临床研究网络和执行智能合约,本研究有助于将区块链技术以及FAIR原则整合到整个临床研究过程中,这在文献中是第一次。
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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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