The 80% Problem: Why Clinical Programming Automation Is a Margin Play, Not a Moonshot
When nearly 80% of a clinical data standards library converts automatically from one programming language to another—compressing months of work into days—the question isn't whether AI can automate clinical trial programming [1]. It's whether the remaining 20% matters enough to stall adoption, and whether sponsors will pay for the risks buried in that last mile.