324 An umbrella protocol that establishes an enterprise-wide framework for the operation of a Clinical Data Warehouse

IF 2.1 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Daniella Garofalo, Allison Orechwa, Neil Bahroos
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引用次数: 0

Abstract

OBJECTIVES/GOALS: To streamline the standards and procedures for operating a research-specific, clinical data warehouse, acheived by defining roles, introducing a common language, and categorizing dataset types to provide transparency regarding data security risks inherent in the use of patient data. METHODS/STUDY POPULATION: We established a Bioethics committee responsible for ensuring clinical data is securely procured, maintained, and extracted in a manner that adheres to all federal, state, and local laws. We created an operational framework in the form of an umbrella IRB protocol and shared it with the bioethics committee for feedback and approval. The protocol was approved first by the bioethics committee and subsequently by the IRB. It was then disseminated across the institution and published online for continuous reference and use by committee members, researchers, and the data warehouse service team. RESULTS/ANTICIPATED RESULTS: The resulting framework defined the roles of researchers, data warehouse service team members, and honest brokers; explains the procedures for accessing and securely delivering data; and lists six categories of datasets according to type and implicit risks: datasets that are preparatory for research/aggregate counts, anonymized datasets, coded datasets, limited datasets, identified datasets for recruitment purposes, and defined identified cohort datasets. The protocol is approved and in use enterprise-wide, has reduced the number of questions from stakeholders, and has given researchers, IRB members, and informatics staff confidence in the use of the clinical research data warehouse. DISCUSSION/SIGNIFICANCE: We offer our framework to CTSAs interested in streamlining their data warehouse operations. We believe the adoption of this framework will establish strong procedures for ensuring compliance with IRB requirements, data privacy, and data security while reducing barriers to clinical research.
324 为临床数据仓库的运行建立全企业框架的总协议
目的/目标:通过定义角色、引入通用语言以及对数据集类型进行分类,简化针对特定研究的临床数据仓库的操作标准和程序,从而使患者数据使用过程中固有的数据安全风险透明化。方法/研究对象:我们成立了一个生物伦理委员会,负责确保临床数据的安全采购、维护和提取符合所有联邦、州和地方法律。我们以总体 IRB 协议的形式创建了一个操作框架,并与生物伦理委员会共享,以获得反馈和批准。该协议首先获得了生物伦理委员会的批准,随后又获得了 IRB 的批准。随后,该协议在整个机构内传播,并在网上发布,供委员会成员、研究人员和数据仓库服务团队持续参考和使用。结果/预期结果:由此产生的框架界定了研究人员、数据仓库服务团队成员和诚信经纪人的角色;解释了访问和安全交付数据的程序;并根据类型和隐含风险列出了六类数据集:准备研究的数据集/汇总计数、匿名数据集、编码数据集、有限数据集、用于招募目的的已识别数据集和已定义的已识别队列数据集。该协议已获批准并在整个企业范围内使用,减少了利益相关者提出的问题数量,并使研究人员、IRB 成员和信息学人员对临床研究数据仓库的使用充满信心。讨论/意义:我们向有意简化数据仓库操作的临床研究机构提供了我们的框架。我们相信,采用该框架将建立强有力的程序,确保符合 IRB 要求、数据隐私和数据安全,同时减少临床研究的障碍。
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来源期刊
Journal of Clinical and Translational Science
Journal of Clinical and Translational Science MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.80
自引率
26.90%
发文量
437
审稿时长
18 weeks
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