In April 2026, the FDA announced concrete steps toward “real-time clinical trials” (RTCT) giving reviewers access to pre-agreed safety and efficacy signals while a trial is still running, ahead of the traditional cycle of collecting, cleaning, and submitting data. Two oncology proof-of-concept studies are already transmitting data, with a broader pilot expected to select its first participants later this year. It's a well-resourced shift in regulatory posture, and, by the FDA's own account, one with a long list of open questions.

What Actually Changes

Traditionally, sponsors clean and analyze data before it reaches the FDA at defined milestones. Under RTCT, pre-agreed signals are transmitted through a shared platform as the trial runs. What is not shared under RTCT is full electronic health record access and open-ended visibility into raw data. As of mid-2026 the initiative rests on two oncology studies plus a request for information. RTCT is not yet a finalized framework, and it isn't established how, or whether, it extends beyond early-phase oncology.

Why This Could Matter

  • Faster safety response: Earlier visibility into adverse signals for faster participant protection.
  • Shorter development timelines: Compressing the pause between phases, especially in high-unmet-need indications.
  • More informed early decisions: Continuous data could sharpen dose-selection and futility calls earlier.
  • A push toward infrastructure modernization: The data-readiness bar RTCT implies has value for pharmacovigilance and Data and Safety Monitoring Board (DSMB) reporting well beyond compliance.

What Remains Unresolved

  • Data quality, privacy, and AI reliability: Raw, in-flight data isn't equivalent to cleaned, sponsor-reviewed data. The FDA's AI-enabled analytics still need a validation standard.
  • Statistical and blinding risk: Rolling review instead of pre-specified analysis points raises multiplicity concerns. It's unclear how the FDA discusses a signal without functionally unblinding a study.
  • Undefined scope and accountability: Success criteria, validation standards, and a scaling timeline remain unpublished. It's unclear who's responsible when data reaches the FDA without passing through the sponsor.
  • Reviewer and infrastructure capacity: Whether reviewers have the bandwidth for streaming data, and whether today's fragmented data systems can interoperate in real time, are both untested.

Key Factors to Watch Out For

  • The FDA's complete pilot participant selection
  • How rolling review reconciles with statistical analysis plans and DSMB oversight
  • Whether the initiative expands beyond oncology, and results from TRAVERSE and STREAM-SCLC

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