基于区块链的电子健康记录:系统性文献综述

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Nehal Ettaloui, Sara Arezki, Taoufiq Gadi
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引用次数: 0

摘要

电子健康记录(EHRs)是构建分布式数据分析框架的一种创新方法,用于在原始位置管理健康数据。区块链技术集成到EHR系统中,在安全性、隐私性和透明度方面有了实质性的改进,从而提高了整体管理效率。我们的研究时间跨度为2017年1月至2022年12月,对Scopus、IEEE explore、施普林格、PubMed Central和ScienceDirect等知名数据库进行了细致系统的文献综述。这项全面的检索于2022年12月完成,采用了严格的纳入和排除标准,以确保选择高质量的文章,从而保证了透明度和公正的结果。通过这次系统回顾,我们的主要目标是探索、评估和分析支持区块链的EHR系统的各种架构、拟议模型、限制和未来轨迹。我们的重点是强调b区块链在医疗保健环境中的适应性和稳健性,同时确定潜在的挑战和需要进一步研究的领域。根据系统评价和荟萃分析指南的首选报告项目,我们仔细审查了600多篇科学研究,最终选择了31篇符合我们严格的纳入标准的文章。我们的技术和体系结构评估深入到隐私、安全性、身份验证、可用性、数据控制、存储和资源消耗等关键方面。我们的研究结果强调了通过区块链集成有效解决电子病历中的安全、隐私和可用性问题。然而,我们观察到潜在的权衡,包括对性能、资源利用和法规遵从性的影响。为了解决这些复杂性,我们引入了一个集成框架,旨在减轻关键挑战,并在该领域内交付实质性价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Blockchain-Based Electronic Health Record: Systematic Literature Review

Blockchain-Based Electronic Health Record: Systematic Literature Review

Electronic health records (EHRs) represent an innovative approach to constructing a distributed data analysis framework for managing health data within its original location. The integration of blockchain technology into EHR systems offers substantial improvements in security, privacy, and transparency, thus enhancing overall management efficiency. Our research spanned from January 2017 to December 2022, conducting a meticulous systematic literature review across reputable databases such as Scopus, IEEE Xplore, Springer, PubMed Central, and ScienceDirect. This comprehensive search, finalized in December 2022, utilized stringent inclusion and exclusion criteria to ensure the selection of high-quality articles, thereby guaranteeing transparency and unbiased results. Through this systematic review, our primary objective was to explore, assess, and analyze the diverse architectures, proposed models, limitations, and future trajectories of blockchain-enabled EHR systems. Our emphasis was on highlighting blockchain’s adaptability and robustness in healthcare contexts while identifying potential challenges and areas for further investigation. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, we scrutinized more than 600 scientific studies, culminating in the selection of 31 articles that met our rigorous inclusion standards. Our technical and architectural evaluations delved into critical aspects such as privacy, security, authentication, availability, data control, storage, and resource consumption. Our research outcomes underscore the effective resolution of security, privacy, and availability concerns in EHRs through blockchain integration. However, we observed potential trade-offs, including impacts on performance, resource utilization, and regulatory compliance. To address these complexities, we introduce an integrated framework designed to mitigate key challenges and deliver substantial value within this domain.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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