Where AI actually helps in the ER (and where it doesn't)

This is a long-form deep dive on where ai actually helps in the er (and where it doesn't). We've distilled what we learned across 60+ hospital deployments into a practical, opinionated guide.

Why this matters

Most hospital systems are stitched together over decades. Decisions made in 2008 still constrain what your team can do in 2026. The good news: you don't have to rip and replace to make material progress this quarter.

The framework we use

1. Map the current-state workflow with the team that actually runs it.
2. Pick one measurable KPI per phase — not five.
3. Pilot for 4 weeks on one wing, with a daily standup.
4. Roll out facility-wide only after the pilot beats baseline twice.

What we'd do differently

Start with the highest-friction surface, not the easiest. Hospitals tolerate change when the pain of the status quo is obvious every shift.