大数据时代的循证医学研究

The evolvement of evidence-based medicine research in the big data era

循证医学作为一门研究证据的科学,其证据决策思想在大数据时代迎来了发展的契机,研究起点从证据前移至数据。大数据在生产证据、总结加工整合证据、应用证据三个阶段发挥积极作用,可更加便捷地获得证据并不再稀缺,证据将更加客观、公正、可靠、透明并得到全新的应用。因此,在大数据时代下开展循证医学研究,积极构建循证医学智能服务平台,需要制定大数据时代循证医学研究战略,全面提高证据质量;完善大数据基础设施,制定结构化临床数据标准,推动临床研究数据全面公开;大力发展便携式、可穿戴健康监测设备,打通院外随访数据收集和访问通道;建立数据使用规范,规避循证医学研究应用大数据的风险。

As a science which focuses on evidence, the decision making process of evidence medicine encounters an opportunity for development in the big data era. The starting point is shifting forward from evidence to data. The big data technology is playing an active role in evidence＇s collection, process and utilization. Evidence is more objective, righteous, authentic, transparent and easier to collect. Thus, to initiate evidence-based medicine research in the big data era and to structure an evidence-based medicine intelligent service platform, a full-scaled strategy should be developed in order to improve the quality of evidence. To promote the complete publicity of clinical research data, structuralized clinical data standard should be constructed. To provide a pathway to patients＇ follow-up data, portable and wearable monitoring devices should be popularized. To avoid risks from utilization of clinical research big data, regulations of clinical data usage should be implemented.