神经数据中心:简化医学临床研究的新方法
Xu Han1, Anton Alyakin1,2, Shannon Ciprut1
1Department of Neurological Surgery, NYU Langone Health, New York, New York, USA.
Neurosurgery practice
|October 30, 2025
概括
一个新的神经数据中心通过提供专门的数据服务来简化神经外科研究,改善临床研究的数据访问和效率. 这种模式增强了医疗领域的研究能力.
科学领域:
- 神经外科 神经外科
- 医疗信息学 医疗信息学
- 临床研究数据管理数据管理
背景情况:
- 神经外科研究面临着传统数据收集方法的挑战,这些方法往往是低效和耗时的.
- 开发专门的数据基础设施对于推进神经外科临床研究至关重要.
- 改善数据可访问性和研究能力是医学研究的一个关键目标.
研究的目的:
- 实施和评估一个新的部门数据基础设施,神经数据中心,用于专门的神经外科研究数据服务.
- 从集中式数据服务转向部门级模型,以改善研究支持.
- 民主化对神经外科研究机构数据的访问.
主要方法:
- 通过神经外科领导和IT之间的合作建立了神经数据中心,与IRB和EHR数据湖集成.
- 实施了请求系统,并每月召开部门会议,以改进系统.
- 分析了39个研究数据请求 (2023年8月至2024年11月),分为基本,复杂或NLP增强,评估执行时间.
主要成果:
- 处理了39个研究数据请求,包括基本,复杂和NLP增强类型.
- 平均请求执行时间为36.5天,NLP增强请求采用率显著增加.
- 服务包括数据可视化和数据库创建,证明了Hub的多功能性.
结论:
- 神经数据中心为部门数据服务提供了范式转变,增强了神经外科研究.
- 这种模式成功地民主化了对机构数据的访问,提高了研究能力.
- 神经数据中心作为其他寻求更好的数据可访问性的医学临床研究计划的潜在模板.
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