Hopkins residents often rely on a fast-moving healthcare cycle—primary care visits, urgent care, ER evaluations, follow-up appointments, and imaging routed through busy systems. In real life, that means:
- Symptoms can be dismissed early because the first visit doesn’t look severe on paper.
- Follow-up can slip when results land in portals or are routed to the wrong queue.
- Testing may occur in stages, and the “right” diagnosis arrives only after repeated visits.
When AI-assisted workflows are involved, the risk increases that a tool’s output is treated as a shortcut rather than a prompt for deeper review—especially when providers are managing high patient volume and time-sensitive triage.


