8^th November, 4.30 PM

	Lars G Hemkens University Hospital Basel, Switzerland
	John Ioannidis Stanford University, USA

Background

Randomization is probably the key element to make routinely collected health data (RCD) most useful for evidence based health care. RCD can help to generate more and more useful randomized trials (RCTs) at lower costs. But the realization of RCD-based RCTs, or randomized real world evidence, faces various challenges in practice.

Aims

1. To discuss promises, opportunities and real world challenges of using RCD for conducting RCT.
2. To spread the understanding of the potential of this evidence and ignite collaborative research activities.
3. To identify key issues to be addressed by the Routinely Collected Data for Randomized Controlled Trials (The RCD for RCT Initiative), which aims to support the use of RCD for clinical trials.

Program

This interactive session invites researchers, decision-makers, regulators and other interested stakeholders. We will present theoretical frameworks, show practical examples, and discuss empirical research on the validity and reliability of RCD for RCTs.

We aim to interactively outline promises, opportunities and challenges of this way of evidence generation.