在多容量网络上进行分布式,不变和透明的生物医学有限数据集请求管理.
Yufei Yu1,2, Maxim Edelson3, Anh Pham1,2
1Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA, 92093, United States.
Journal of the American Medical Informatics Association : JAMIA
|November 21, 2024
概括
一个新的区块链系统显著加快了有限数据集 (LDS) 的共享速度,将请求时间从几个小时减少到几秒钟. 这提高了数据访问的透明度和对多机构临床研究环境的信任.
科学领域:
- 医疗信息学 医疗信息学
- 区块链技术 区块链技术
- 数据管理数据管理
背景情况:
- 有限数据集 (LDS) 对临床研究至关重要,但共享这些数据集可能耗时且复杂.
- 现有的数据共享流程往往缺乏透明度和效率,阻碍了研究进展.
- 需要一个精简,安全和可审计的系统来加快LDS请求.
研究的目的:
- 开发和评估一个基于区块链的平台,用于自动化和加快有限数据集 (LDS) 共享请求.
- 在多机构网络中提高数据访问的透明度和可审计性.
- 在现实的网络条件下测量系统的效率和性能.
主要方法:
- 开发了一个区块链系统,利用六个智能合约来自动化LDS共享工作流.
- 实现了元数据初始化,访问请求处理和审计日志查询的流程.
- 使用合成数据评估了系统的性能,模拟了大约1000个研究人员请求和36万个日志查询,跨越了三台具有不同规格的机器.
主要成果:
- 该系统平均在约2.5秒内处理了研究人员的访问请求.
- 有非空结果的审计日志查询平均约为3毫秒.
- 观察到不同机构硬件容量的性能变化,超过某些硬件值后的回报率下降.
结论:
- 基于区块链的系统大大减少了LDS共享请求时间,将小时转换为秒.
- 加强数据访问透明度和清晰的审计轨迹提高了对多机构数据管理的信任.
- 该系统有可能通过优化数据访问和交付流程来加速临床研究.
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