11.07.26 -- Best Of October: AI, RWE, And Trial Workforce Gaps

AI can surface patterns in real-world data, but people still need to interpret them. James Richardson explains why analytical capacity is the bottleneck.

Elisa Cascade and David Vulcano explain how duplicate data entry slows enrollment, creates errors, and adds burden when sponsor and site systems clash.

David Vulcano explains how a missing federal occupational classification limits workforce visibility, career pathways, and recognition in clinical research.

Industry leaders examine agentic AI across startup, enrollment, and oversight, including human control, adoption challenges, and ways to measure impact.

See how AI and synthetic patient data help teams test enrollment criteria, anticipate recruitment challenges, and refine protocols before trial launch.

Explore how configuration-driven RTSM can simplify amendments, reduce validation effort, and maintain traceability as trial requirements evolve.