Korio Videos And Podcasts
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When Should You Rescue Your Clinical Trial From A Bad RTSM?
4/28/2026
Stop settling for tech delays that drain your team. Learn how to evaluate a mid-study transition and implement a rescue plan that restores efficiency and control to your clinical operations.
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Your Biggest Unblinding Risk? Inexperienced Staff
4/28/2026
Protect study integrity by closing the gaps in IRT workflows. Learn why rushed communication and training lapses lead to accidental unblinding and how to safeguard your clinical data.
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Inspection Ready IRT And RTSM Audit Trail
4/10/2026
When inspectors ask for RTSM audit data, are you ready? Chuck Harris shares how Korio gives sponsors immediate access—no requests, no delays.
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Is RTSM Startup Speed The Wrong Success Metric?
4/10/2026
Explore Clinical Trials focus on the study startup timeline and what is controllable at this stage.
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It Works Great Until Your Protocol Changes
4/10/2026
The CEO of Korio discusses the challenges of change and how Korio's platform addresses every shifting protocols.
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RTSM Integrations Monitoring Demo
4/10/2026
This demonstration showcases the Integration Monitor built into our RTSM platform.
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Reducing Human Error With A Blinding Engine
4/10/2026
In this 1-minute clip, see how this RTSM's blinding engine automates the blinding setup process, removing risk before it starts.
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Is Your Clinical Trial's IRT/RTSM System Stuck In The 90s?
3/25/2026
This clip explores why RTSM tech often trails modern expectations and how ingrained organizational habits keep teams tied to legacy systems that no longer meet today’s clinical trial demands.
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When It Comes To IRT/RTSM In Your Clinical Trials, Speed Isn't Always A Good Thing
3/25/2026
This clip shows why speed alone isn’t enough in clinical trials, stressing the need for thoughtful design, operational alignment, and long‑term reliability when pressure to move fast rises.
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How To Make Your Clinical Trial Protocol More IRT/RTSM Friendly?
3/25/2026
Simplifying and standardizing protocol elements strengthens RTSM builds by creating clear, repeatable structures that cut risk and boost reliability across the study lifecycle.