The AI Front Desk: Patient Access, Escalation, and Practice Readiness with Jakub Grajcar

The speaker reports that the hard part of AI implementation in healthcare is not the model but the oversight, specifically who owns the alert and whether anyone will admit data isn't ready.

“SPEAKER_02 33:26 Healthcare has spent five years getting AI in the door. Pilots, ambient documentation, predictive models, triage tools. The technology is here. The oversight is not. I'm Chris Hutchins. I've spent thirty years inside health systems. The hard part is almost never the model. It's the meeting after the model. It's who owns the alert. It's whether anyone will say out loud that the data isn't ready”

The speaker reports leading process improvement projects within healthcare and clinical work, but notes they have not necessarily deployed AI extensively in healthcare through their AI agency.

The speaker reports that in healthcare, a bad AI output carries patient risk rather than lost sales, creating a responsibility lens that prioritizes safety over full AI advantage.