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[Randomized controlled trial based on big data].

L Xu1, S F Wang, S Y Zhan

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|June 27, 2019
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Summary
This summary is machine-generated.

This study explores using big data for randomized controlled trials in China. It details data sources, subject identification, and ethical considerations for future research.

Keywords:
Big dataElectronic medical recordsRandomized controlled trial

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Area of Science:

  • Medical Research
  • Big Data Analytics
  • Clinical Trials

Background:

  • Significant data accumulation in the Chinese medical field.
  • Growing interest in applying big data to randomized controlled trials (RCTs).

Purpose of the Study:

  • To introduce knowledge on conducting big data-driven RCTs in China.
  • To leverage international experiences for domestic application.
  • To guide future research in this domain.

Main Methods:

  • Learning from successful international big data RCT methodologies.
  • Introducing key components: data sources, subject/outcome identification, interventions, randomization, and informed consent.
  • Focus on practical aspects for implementation in China.

Main Results:

  • Provides a framework for big data utilization in Chinese medical RCTs.
  • Highlights critical elements for successful trial design and execution.
  • Offers insights into data management and ethical considerations.

Conclusions:

  • Big data offers a powerful tool for advancing medical research in China.
  • Adoption of international best practices is crucial for effective implementation.
  • This work aims to facilitate future big data-based clinical studies in the region.