European Medicines Agency, Amsterdam, Netherlands.
Danish Medicines Agency, Copenhagen, Denmark.
Clin Pharmacol Ther. 2020 Apr;107(4):753-761. doi: 10.1002/cpt.1736. Epub 2020 Jan 27.
The increasing volume and complexity of data now being captured across multiple settings and devices offers the opportunity to deliver a better characterization of diseases, treatments, and the performance of medicinal products in individual healthcare systems. Such data sources, commonly labeled as big data, are generally large, accumulating rapidly, and incorporate multiple data types and forms. Determining the acceptability of these data to support regulatory decisions demands an understanding of data provenance and quality in addition to confirming the validity of new approaches and methods for processing and analyzing these data. The Heads of Agencies and the European Medicines Agency Joint Big Data Taskforce was established to consider these issues from the regulatory perspective. This review reflects the thinking from its first phase and describes the big data landscape from a regulatory perspective and the challenges to be addressed in order that regulators can know when and how to have confidence in the evidence generated from big datasets.
现在,在多个环境和设备中捕获的数据量和复杂度不断增加,为更好地描述疾病、治疗方法以及在各个医疗体系中药物产品的性能提供了机会。此类数据源通常被标记为大数据,通常规模较大、快速积累,并包含多种数据类型和形式。要确定这些数据是否可接受以支持监管决策,除了确认处理和分析这些数据的新方法和途径的有效性之外,还需要了解数据的出处和质量。成立机构负责人和欧洲药品管理局联合大数据工作组,从监管角度来考虑这些问题。本综述反映了其第一阶段的思考,并从监管角度描述了大数据领域以及为了使监管机构能够了解何时以及如何对大数据集生成的证据有信心而需要解决的挑战。