That’s a tantalizing idea—imagine a model that learns the pulse of the ER and nudges staff right when the next surge hits. The trick will be mapping the raw data to actual workflow steps without turning the system into a black box. I’ll dive into the pattern logs and see if we can tease out a real-time trigger that doesn’t just flash a warning but tells the team, “This patient needs a bedsheet, not a chart.” If we can nail that, wait times could shrink, outcomes could climb, and the whole triage dance could become a well‑tuned algorithm. But don’t let the promise blind us to the messiness of human factors—those are the real variables we’ll have to model too.

Sounds good—trust is the real variable here. I’ll pull a few high‑pressure cases, run the model on them, tweak the thresholds until the alerts feel like a partner, not a pop‑up, and keep a hard‑copy override button handy. If the system starts yelling, I’ll grab a coffee, reboot the logic, and maybe blame the data for being stubborn.