Decentralized Trial Technology Insights
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Two Planning Mistakes That Quietly Sink Clinical Programs
9/3/2026
A veteran biostatistician on the planning document and the dose-selection shortcut that quietly decide whether trials succeed.
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Duplicate Tech, Not Technology, Is Burning Out Trial Sites
9/3/2026
Clinical trial sites aren’t overwhelmed by technology – they’re overwhelmed by entering the same data into disconnected systems again and again.
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The Real Reason Clinical Trial Systems Don't Talk To Each Other
8/27/2026
Clinical trial technology isn’t the barrier to interoperability; the economics are. Two industry leaders explain why nothing forces systems to connect.
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The Vendor Questions Most Clinical Tech Buyers Forget To Ask
8/24/2026
A practical checklist for evaluating decentralized trial technology vendors, built from an RF engineer’s view of where data quality actually breaks.
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AI In Clinical Trials: Stop Hyping It, Start Proving It
8/20/2026
David Vulcano wants clinical research to report AI failures with the same rigor it applies to adverse events. Here’s why that call-to-action matters.
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What AI Can't Fix In Decentralized Clinical Trial Data
8/17/2026
An RF and semiconductor engineer explains why AI can’t compensate for hardware and connectivity errors, and what questions to ask instead.
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Decentralized Trials Promised Less Burden. Did They Deliver?
8/13/2026
Wearables and other technology to facilitate decentralized trials were supposed to ease patient burden. Elisa Cascade explains why the results depend entirely on design.
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Wireless Connectivity Is A Data Integrity Issue, Not IT
8/10/2026
An RF engineer explains why packet loss, multipath interference, and battery tradeoffs are scientific validity issues, not IT problems.
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The Synchronization Problem Clinical Research Isn't Watching
8/3/2026
Why timestamp drift between wearable sensors quietly undermines decentralized trial data, and why almost no one is asking about it.
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Why Trustworthy Clinical Trial Data Starts As Analog, Not Digital
7/27/2026
An RF engineer explains why sensor physics and analog design, not software, determine whether wearable trial data can be trusted.