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The clinical trial system is starting to look like a motorway at a standstill: more and more drugs are lining up, but the lanes ahead are already full. We sit down with Pamela Tenart to unpack why the industry may have reached the limit of human-only clinical development, and why “adding more people” is no longer a realistic plan when experienced CRAs, site co-ordinators and trial operators are already stretched thin.
From there, we get practical about what agentic AI could change inside clinical trial operations. We talk about AI agents that can pull context across CTMS, EDC, safety reporting and TMF, helping monitors prepare for site visits, flag missing fields, propose next best actions, draft communications, and reduce the dead time where teams are simply waiting for updates. The point is not to automate judgement, but to automate the admin and co-ordination work so humans can focus on strategy, enrolment, quality, and patient safety with a clear audit trail and human-in-the-loop control.
We also zoom out to the bigger bottleneck: sponsors, CROs and sites are part of one connected system, so optimising one party can just shift the pain elsewhere. Along the way we explore why better, more sensitive endpoints can shorten trial timelines, how policy and regulation might need to evolve, and a memorable metaphor from industrial history: electricity boosted individual productivity first, but factories only truly improved once they were rebuilt for the new technology.
If you’re working in clinical research, drug development, biotech, or health tech, this conversation will help you think more clearly about where AI genuinely shortens the critical path and where it simply adds noise. Subscribe, share the episode with a colleague, and leave us a review. Which clinical trial workflow would you redesign first?
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Hosts
Alexander Booth aka the MedTech Guy
Dimitri Borisevich aka the start-up Guy
Ivanna Rosendal aka the R&D pharma Gal
